Triple

T14886471
Position Surface form Disambiguated ID Type / Status
Subject Spartanburg County E350134 entity
Predicate bordersCounty P6346 FINISHED
Object Union County E341973 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: [Spartanburg County, bordersCounty, Union County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union County
Context triple: [Spartanburg County, bordersCounty, Union County]
  • A. Union County
    Union County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region.
  • B. Union County
    Union County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • C. 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.
  • D. Union County
    Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
  • E. Union County
    Union County is a county in northeastern New Jersey known for its diverse communities, suburban-urban mix, and proximity to New York City.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45406c8c8190beb87d4bb5c50355 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 1:56 a.m.