Triple

T16114454
Position Surface form Disambiguated ID Type / Status
Subject North Carolina Zoo E390966 entity
Predicate city P40 FINISHED
Object Asheboro E336325 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: Asheboro | Statement: [North Carolina Zoo, city, Asheboro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asheboro
Context triple: [North Carolina Zoo, city, Asheboro]
  • A. Asheboro, North Carolina chosen
    Asheboro, North Carolina is a small city in the central Piedmont region best known as home to the North Carolina Zoo and a hub for regional manufacturing and outdoor recreation.
  • B. New Bern
    New Bern is a historic coastal city in eastern North Carolina, known as a former colonial capital and one of the oldest towns in the state.
  • C. Aberdeen, North Carolina
    Aberdeen, North Carolina is a small town in the Sandhills region known for its historic downtown and proximity to the Pinehurst golf and resort area.
  • D. Lenoir
    Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
  • E. Morganton
    Morganton is a small city in Burke County, North Carolina, known as a regional hub in the foothills of the Blue Ridge Mountains with a historic downtown and proximity to outdoor recreation.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20169ce488190bbc814f23a3b7547 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79c74388190a10e0346426b0cbe completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.