Triple

T2665491
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth E55624 entity
Predicate isCountySeatOf P383 FINISHED
Object Union County E158952 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: Union County | Statement: [Elizabeth, isCountySeatOf, Union County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union County
Context triple: [Elizabeth, isCountySeatOf, Union County]
  • A. 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.
  • B. Union County
    Union County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region.
  • C. Union County chosen
    Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
  • D. Union County
    Union County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • E. Union County
    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.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96ed2748190a4feae98199b459d completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3544e32a0819087d554982f443b1d completed March 13, 2026, 12:03 a.m.
Created at: March 6, 2026, 9:54 p.m.