Triple

T8757273
Position Surface form Disambiguated ID Type / Status
Subject south-central Idaho E208101 entity
Predicate hasCounty P285 FINISHED
Object Lincoln County E486313 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: Lincoln County | Statement: [south-central Idaho, hasCounty, Lincoln County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln County
Context triple: [south-central Idaho, hasCounty, Lincoln County]
  • A. Lincoln County
    Lincoln County is a county in North Carolina that forms part of the greater Charlotte metropolitan region.
  • B. Lincoln County
    Lincoln County is a sparsely populated rural county in eastern Colorado known for its agricultural economy and small towns on the High Plains.
  • C. Lincoln County
    Lincoln County is a county-level jurisdiction in the U.S. state of Mississippi, with Brookhaven as its county seat.
  • D. Lincoln County
    Lincoln County is a county in central Oklahoma known for its mix of small towns, agricultural land, and proximity to the Oklahoma City metropolitan area.
  • E. Lincoln County chosen
    Lincoln County is a rural county in northern Idaho known for its small communities and natural landscapes.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddabdc88190ba50ef1833a815d0 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeafd26f4819092f5adc1ac70148f completed April 3, 2026, 4:29 p.m.
Created at: March 30, 2026, 6:40 p.m.