Triple

T21189304
Position Surface form Disambiguated ID Type / Status
Subject Greenwood County E522169 entity
Predicate borderedByCounty P6346 FINISHED
Object Abbeville 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: Abbeville County | Statement: [Greenwood County, borderedByCounty, Abbeville County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbeville County
Context triple: [Greenwood County, borderedByCounty, Abbeville County]
  • A. Abbeville County chosen
    Abbeville County is a rural county in western South Carolina known for its historic role in the American Civil War and its largely agricultural landscape.
  • B. Yancey County
    Yancey County is a rural county in western North Carolina known for its mountainous terrain and proximity to Mount Mitchell, the highest peak in the eastern United States.
  • C. Randolph County
    Randolph County is a county in southwestern Illinois known for its historic river towns, including Chester along the Mississippi River.
  • D. Randolph County
    Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
  • E. Randolph County
    Randolph County is a county in central North Carolina known for its rural communities, pottery heritage, and location within the Piedmont region.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e733350e588190a31467758a8afa5c completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.