Triple

T1256006
Position Surface form Disambiguated ID Type / Status
Subject Mooresville, North Carolina E26993 entity
Predicate county P75 FINISHED
Object Iredell County E174665 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: Iredell County | Statement: [Mooresville, North Carolina, county, Iredell County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iredell County
Context triple: [Mooresville, North Carolina, county, Iredell County]
  • A. Iredell County chosen
    Iredell County is a county in North Carolina known for its mix of suburban communities, transportation corridors, and proximity to the city of Charlotte.
  • B. Stanly County
    Stanly County is a county in central North Carolina that forms part of the greater Charlotte metropolitan region.
  • C. Cabarrus County
    Cabarrus County is a North Carolina county in the Charlotte metropolitan area known for its rapidly growing suburbs and the Charlotte Motor Speedway.
  • D. Catawba County
    Catawba County is a county in western North Carolina known for its manufacturing base and inclusion in the greater Charlotte metropolitan region.
  • E. Anson County
    Anson County is a rural county in south-central North Carolina that forms part of 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bfa726548190911b4022dc1be3c3 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69afa0333e40819086d963491946e28b completed March 10, 2026, 4:38 a.m.
Created at: March 1, 2026, 7:47 p.m.