Triple

T6148894
Position Surface form Disambiguated ID Type / Status
Subject Triangle region of North Carolina E137146 entity
Predicate hasCounty P285 FINISHED
Object Harnett County E88559 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: Harnett County | Statement: [Triangle region of North Carolina, hasCounty, Harnett County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harnett County
Context triple: [Triangle region of North Carolina, hasCounty, Harnett County]
  • A. Conecuh County
    Conecuh County is a rural county in southern Alabama known for its pine forests, timber industry, and historic small towns.
  • B. Anson County
    Anson County is a rural county in south-central North Carolina that forms part of the greater Charlotte metropolitan region.
  • C. Stanly County
    Stanly County is a county in central North Carolina that forms part of the greater Charlotte metropolitan region.
  • 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. Harnett County, North Carolina chosen
    Harnett County, North Carolina is a centrally located county in the state known for its mix of rural communities, growing suburban areas, and its county seat, Lillington.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce21820819096be9159d6b70a5f completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d67cac0819088802d5a21654fe8 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:16 p.m.