Triple

T13902901
Position Surface form Disambiguated ID Type / Status
Subject Macon Downtown Airport E334272 entity
Predicate servesCity P82 FINISHED
Object Macon, Georgia E9418 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, Georgia | Statement: [Macon Downtown Airport, servesCity, Macon, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macon, Georgia
Context triple: [Macon Downtown Airport, servesCity, Macon, Georgia]
  • A. Macon
    Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
  • B. Macon
    Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
  • C. Macon, Georgia, United States chosen
    Macon, Georgia, United States is a historic city in central Georgia known for its rich musical heritage, antebellum architecture, and role as the birthplace of Delta Air Lines.
  • D. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • E. Macon metropolitan area
    The Macon metropolitan area is a regional urban and economic hub in central Georgia centered on the city of Macon and its surrounding communities.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac8401b88190a2e87dbdf1bbaee2 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:16 p.m.