Triple

T6104839
Position Surface form Disambiguated ID Type / Status
Subject Gastonia Municipal Airport E136091 entity
Predicate serves P98 FINISHED
Object Gaston County E172603 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: Gaston County | Statement: [Gastonia Municipal Airport, serves, Gaston County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaston County
Context triple: [Gastonia Municipal Airport, serves, Gaston County]
  • A. Gaston County chosen
    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.
  • B. 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.
  • C. Catawba County
    Catawba County is a county in western North Carolina known for its manufacturing base and inclusion in the greater Charlotte metropolitan region.
  • D. Nash County
    Nash County is a county in eastern North Carolina known for its mix of rural communities, small towns like Rocky Mount, and agricultural and manufacturing-based economy.
  • E. 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.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3f8e5481909e85a60aaf319f66 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ccec1cb5d48190ac9f6ad5920403f1 completed April 1, 2026, 9:57 a.m.
Created at: March 22, 2026, 4:13 p.m.