--- title: Query Generation logs description: Every call to a Query Generator and its results are logged in the Query Generation Log \[sn\_query\_gen\_log\] table. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/now-intelligence/query-generation-logs.html release: australia topic_type: reference last_updated: "2026-03-12" reading_time_minutes: 4 breadcrumb: [Reference, Query Generation, ServiceNow Otto for Platform Analytics, Platform Analytics] --- # Query Generation logs Every call to a Query Generator and its results are logged in the Query Generation Log \[sn\_query\_gen\_log\] table. ## Using the logs Go to **Query Generation** > **Administration** > **Logs** to inspect failed or incorrect queries. 1. Find the entry by user, date, or utterance. 2. Check **Semantic Entities/Dimensions/Segments Count** 3. Open **Query Constitutor Output** to see what was selected. 4. Compare with **Semantic Filter Result** for raw semantic matches. |Symptom|Likely cause|Fix| |-------|------------|---| |"Unable to understand" response|System cannot find a matching table|Improve entity description; rephrase with table name; verify AI search is running; verify that all Indexed Sources are fully processed.| |Wrong table selected|Similar table names, no disambiguation|Add semantic usage instructions to differentiate.| |Wrong table selected \(permissions\)|User lacks read access to the intended table or fields.|Verify and grant table and field read ACLs for the intended data.| |"Error accessing table data" or "Scope access not granted" response|Some data is in protected application scopes that AI Data Explorer cannot access.|Create ACLs granting access to the scope for AI Data Explorer. Approve the subsequently generated Restricted Caller Access \(RCA\) records. For more information, see [Enabling access to protected scope applications for AI Data Explorer and Query Generation](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/enable-aide-secure-scope-apps.md).| |Missing field in results|Dimension turned off, unclear label, or field not in semantic layer|Check dimension is active; update label.| |Related fields not pulled in|Referenced table missing from semantic layer or reference dimension turned off|Add and enable the referenced table entity; enable the reference dimension.| |Wrong filter applied|Bad segment match|Fix segment name and description; disable the segment.| |No filter when expected|No matching segment; phrasing too vague|Create a manual segment; rephrase question.| |Segment from report is wrong|Auto-generated segment has stale or irrelevant filter|Disable the report segment source or the specific segment.| |Column|Description|Shown by default?| |------|-----------|-----------------| |Created|Timestamp of the call to Query Generation|Yes| |User|The user from the User \[sys\_user\] table who made the call. If this is blank, try Created by.|Yes| |Utterance|The plain language question asked by the user|Yes| |Status|The success or otherwise of the call|Yes| |Error message|If the status is "error," this is the error message that is returned to the user.|Yes| |Total time|Time in milliseconds it took for the AI to process the query and return the response|Yes| |"X" time|Time in milliseconds each component X spent processing the query|Yes| |Semantic Filter Results|Fields in the semantic layer tables that the query references, in JSON|Yes| |Utterance Bank Results|Questions similar to the user's question \(Utterance\) that were found in the Utterance Bank and used to interpret the user's question, in JSON|Yes| |Response|The JSON response to the query|Yes| |Entities|The records in the Entities table that are referenced by the query. Each record corresponds to a facts table.|Yes| |Query Constitutor Output|JSON of the query that is generated|Yes| |Source|The application from which the question was asked. If the question was asked from the ServiceNow Otto panel when it was open in a page that is not part of an application, the UUID of that page is shown instead.|Yes| |Response|The response that the LLM returns|Yes| |Generative AI Log|The LLM used for the query|Yes| |Conversation|Unique chat conversation ID, such as in a ServiceNow Otto Panel to Query Generation conversation|Yes| |ACL Time|Time it took to validate the Access or Security of the user for the underlying table|No| |Additional info|Start time, total calls, and other metadata about the AI Search run|No| |Created by|Person who created the query. Includes ServiceNow® staff members logged on as maint.|No| |Domain|Domain in which the query was created|No| |Dot walked|Whether the query included dot walking between tables \(true/false\)|No| |Entity has usage score|Whether the entity has a usage score \(true/false\)|No| |Entity source|Whether the Source was in ENTITIES, USER SENSE, or SEGMENTS|No| |Error code|The error code, if there was an error|No| |Follow Up Generated|The number of follow-up questions that the LLM generated in response to the query|No| |Follow Up Returned|How many of the generated follow-up questions are actually returned. The questions must refer to tables that the querying user can access and are in the semantic layer, for example.|No| |LLM Time|Time spent by the large language model \(LLM\) on the query|No| |Query Constructor Time|Time spent by the query constructor on the query|No| |RAG time|Time spent by the retrieval-augmented generation \(RAG\) on the query|No| |Semantic Dimensions count|Number of table records \(dimensions\) examined for the query|No| |Semantic Entities Count|Number of tables \(entities\) examined for the query|No| |Semantic Filter Results|Results of running the semantic filter|No| |Semantic Filter Time|Time spent by the semantic filter|No| |Semantic Segments Count|Number of segments examined for the query|No| |Source Table|Name of table corresponding to Source Id|No| |Tags|Any tags that you add to the log|No| |Updated|Date stamp when log entry was last updated|No| |Updated by|User responsible for last log entry update|No| |Updates|Count of updates to the log entry|No| |Utterance bank results|Similar examples extracted from utterance bank|No| |Utterance bank time|Amount of time spent searching the utterance bank|No| **Parent Topic:**[Query Generation reference](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/query-generation-reference.md) **Related topics** [Common AI Data Explorer issues and fixes](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/ai-data-explorer-troubleshooting.md)