Triple

T6515516
Position Surface form Disambiguated ID Type / Status
Subject Catawba Science Center E148246 entity
Predicate regionServed P82 FINISHED
Object Catawba County E180583 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: Catawba County | Statement: [Catawba Science Center, regionServed, Catawba County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catawba County
Context triple: [Catawba Science Center, regionServed, Catawba County]
  • A. Catawba County chosen
    Catawba County is a county in western North Carolina known for its manufacturing base and inclusion in the greater Charlotte metropolitan region.
  • B. Stanly County
    Stanly County is a county in central North Carolina that forms part of the greater Charlotte metropolitan region.
  • C. Gaston County
    Gaston County is a county in North Carolina that forms part of the greater Charlotte metropolitan region, combining suburban communities with industrial and natural areas.
  • D. Iredell County
    Iredell County is a county in North Carolina known for its mix of suburban communities, transportation corridors, and proximity to the city of Charlotte.
  • E. Rowan County
    Rowan County is a county in North Carolina that lies within the greater Charlotte metropolitan region.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0d395081908fe6b1f9a912f095 completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69d380b6a39c8190ade06ba0249ffa79 completed April 6, 2026, 9:45 a.m.
Created at: March 27, 2026, 1:44 p.m.