Triple

T21165554
Position Surface form Disambiguated ID Type / Status
Subject Taghkanic Creek E521550 entity
Predicate hasCounty P285 FINISHED
Object Columbia 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: Columbia County | Statement: [Taghkanic Creek, hasCounty, Columbia County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia County
Context triple: [Taghkanic Creek, hasCounty, Columbia County]
  • A. Columbia County chosen
    Columbia County is a rural county in eastern New York State known for its Hudson River frontage, historic towns, and agricultural landscapes.
  • B. Columbia County
    Columbia County is a rural county in northern Florida known for its county seat of Lake City and its location at the crossroads of major interstate highways.
  • C. Columbia County
    Columbia County is a county in northwestern Oregon known for its forested landscapes, small communities, and location along the Columbia River.
  • D. Columbia County
    Columbia County is a county in south-central Wisconsin known for its mix of agricultural land, small communities, and proximity to natural features such as the Baraboo Range and the Wisconsin River.
  • E. Columbia County
    Columbia County is a rapidly growing county in east-central Georgia, part of the Augusta metropolitan area, known for its suburban communities and strong school system.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270efe3081908a50fc601c2f958c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.