Triple

T17087640
Position Surface form Disambiguated ID Type / Status
Subject Grainger Stadium E414640 entity
Predicate city P40 FINISHED
Object Kinston E1128216 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: Kinston | Statement: [Grainger Stadium, city, Kinston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinston
Context triple: [Grainger Stadium, city, Kinston]
  • A. Kinston chosen
    Kinston is a small city in eastern North Carolina known for its regional airport, historic downtown, and role as a local economic and cultural hub.
  • B. Fayetteville
    Fayetteville is a small town in southern West Virginia known for its proximity to the New River Gorge and its reputation as a hub for outdoor recreation and adventure tourism.
  • C. Fayetteville
    Fayetteville is a city in northwest Arkansas known for being home to the University of Arkansas and for its vibrant college-town atmosphere.
  • D. Fayetteville
    Fayetteville is a suburban city in the Atlanta metropolitan area known for its residential communities and proximity to the Georgia state capital.
  • E. Fayetteville
    Fayetteville is a small unincorporated community located in Talladega County, Alabama, United States.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fa0a288190af69201ec88ec3c6 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.