Triple

T8325180
Position Surface form Disambiguated ID Type / Status
Subject Thurlow Ward E194932 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Hastings County E217843 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hastings County | Statement: [Thurlow Ward, locatedInAdministrativeTerritory, Hastings County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hastings County
Context triple: [Thurlow Ward, locatedInAdministrativeTerritory, Hastings County]
  • A. Hastings County chosen
    Hastings County is a large, predominantly rural county in eastern Ontario, Canada, known for its forests, lakes, and outdoor recreation opportunities.
  • B. Burnet County
    Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
  • C. Smith County
    Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
  • D. Smith County
    Smith County is a county in eastern Texas that includes the city of Tyler and serves as a regional hub for healthcare, education, and commerce.
  • E. Hunt County
    Hunt County is a county in northeastern Texas that includes both rural communities and the city of Greenville as its county seat.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f7e4f8081908e0f876ad962c932 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cef2d359208190bdeb494e090920ea completed April 2, 2026, 10:50 p.m.
Created at: March 30, 2026, 5:56 p.m.