Triple

T20304683
Position Surface form Disambiguated ID Type / Status
Subject Laurens County E505577 entity
Predicate borders P224 FINISHED
Object Union 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: Union County | Statement: [Laurens County, borders, Union County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union County
Context triple: [Laurens County, borders, Union County]
  • A. Union County
    Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
  • B. Union County chosen
    Union County is a county in northern Georgia known for its mountainous terrain, outdoor recreation areas, and historic ties to the region’s gold-mining heritage.
  • C. Union County
    Union County is a rural county in northeastern New Mexico known for its ranching economy, wide-open High Plains landscapes, and small communities such as its county seat, Clayton.
  • D. Union County
    Union County is a county in northeastern Oregon known for its agricultural landscape, outdoor recreation, and the city of La Grande as its largest community and economic center.
  • E. Union County
    Union County is a county in central Ohio known for its mix of rural farmland, growing suburban communities, and proximity to the Columbus metropolitan area.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773ed3248190ba949ec941e8d41f completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.