Triple

T19599861
Position Surface form Disambiguated ID Type / Status
Subject St. Thomas, Ontario E470438 entity
Predicate locatedIn P40 FINISHED
Object Elgin County NE NERFINISHED

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: Elgin County | Statement: [St. Thomas, Ontario, locatedIn, Elgin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elgin County
Context triple: [St. Thomas, Ontario, locatedIn, Elgin County]
  • A. Elgin County chosen
    Elgin County is a predominantly rural county in southwestern Ontario, Canada, known for its agricultural communities, Lake Erie shoreline, and the city of St. Thomas as its largest urban center.
  • B. Greenlee County
    Greenlee County is a sparsely populated, mining-oriented county in southeastern Arizona known for its copper production and rugged desert-mountain landscapes.
  • C. Grant County
    Grant County is a county in east-central Indiana known for its small towns, agricultural landscape, and historical ties to figures like James Dean.
  • D. Grant County
    Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
  • E. Grant County
    Grant County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407df98c8190b258ac3b690fe4b1 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.