Triple

T2290106
Position Surface form Disambiguated ID Type / Status
Subject Georgia Sports Hall of Fame E51482 entity
Predicate city P40 FINISHED
Object Macon E29211 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: Macon | Statement: [Georgia Sports Hall of Fame, city, Macon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macon
Context triple: [Georgia Sports Hall of Fame, city, Macon]
  • A. Macon
    Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
  • B. Macon metropolitan area chosen
    The Macon metropolitan area is a regional urban and economic hub in central Georgia centered on the city of Macon and its surrounding communities.
  • C. Dawsonville
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • D. Milledgeville, Georgia
    Milledgeville, Georgia is a historic city in central Georgia that served as the state’s capital during much of the 19th century and is known for its antebellum architecture and Southern heritage.
  • E. Marietta, Georgia
    Marietta, Georgia is a historic city in the Atlanta metropolitan area known for its Civil War heritage, vibrant downtown square, and role as a regional economic and cultural center.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc273b67c8190bcd96f9a484647ef completed March 7, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2031a55148190a1b96af35d109259 completed March 12, 2026, 12:04 a.m.
Created at: March 4, 2026, 7:48 p.m.