Triple

T7762139
Position Surface form Disambiguated ID Type / Status
Subject Indianapolis metropolitan area E176047 entity
Predicate hasCounty P285 FINISHED
Object Hamilton County E190176 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: Hamilton County | Statement: [Indianapolis metropolitan area, hasCounty, Hamilton County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamilton County
Context triple: [Indianapolis metropolitan area, hasCounty, Hamilton County]
  • A. Hamilton County
    Hamilton County is a sparsely populated, heavily forested county in the central Adirondack region of upstate New York, known for its lakes, outdoor recreation, and protected wilderness areas.
  • B. Hamilton County
    Hamilton County is a rural county in northern Florida known for its small communities, natural springs, and proximity to the Georgia border.
  • C. Hamilton County
    Hamilton County is a populous county in southeastern Tennessee that includes the city of Chattanooga as its county seat and economic center.
  • D. Hamilton County chosen
    Hamilton County is a populous suburban county in central Indiana, known for its affluent communities and proximity to Indianapolis.
  • E. Hamilton County
    Hamilton County is a rural county in central Texas known for its agricultural economy and small-town communities.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70404c2108190ad2b900ac9bf582b completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7d658888190af97b83127086a2b completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:09 p.m.