Triple

T23336117
Position Surface form Disambiguated ID Type / Status
Subject Columbus Metropolitan Airport E591588 entity
Predicate serves P98 FINISHED
Object Columbus–Phenix City metropolitan area — NE NERFINISHED

How this triple was built (3 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: Columbus–Phenix City metropolitan area | Statement: [Columbus Metropolitan Airport, serves, Columbus–Phenix City metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Columbus–Phenix City metropolitan area
Context triple: [Columbus Metropolitan Airport, serves, Columbus–Phenix City metropolitan area]
  • A. Florence-Muscle Shoals metropolitan area
    The Florence-Muscle Shoals metropolitan area is a small urban region in northwestern Alabama centered around the cities of Florence and Muscle Shoals, known historically as a hub for influential American music recording.
  • B. Tuscaloosa metropolitan area
    The Tuscaloosa metropolitan area is a regional urban and economic hub in west-central Alabama centered on the city of Tuscaloosa and its surrounding communities.
  • C. Gadsden Metropolitan Statistical Area
    The Gadsden Metropolitan Statistical Area is a U.S. Census-defined region in northeastern Alabama centered on the city of Gadsden and its surrounding communities for demographic and economic analysis.
  • D. Montgomery metropolitan area
    The Montgomery metropolitan area is a regional urban hub in central Alabama centered on the city of Montgomery and its surrounding communities.
  • E. Auburn metropolitan area
    The Auburn metropolitan area is a regional urban and suburban community centered on the city of Auburn, typically encompassing its surrounding towns and economic hinterland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Columbus–Phenix City metropolitan area
Target entity description: The Columbus–Phenix City metropolitan area is a bi-state urban region centered on Columbus, Georgia, and Phenix City, Alabama, known for its shared economy, workforce, and transportation infrastructure across the Chattahoochee River.
  • A. Florence-Muscle Shoals metropolitan area
    The Florence-Muscle Shoals metropolitan area is a small urban region in northwestern Alabama centered around the cities of Florence and Muscle Shoals, known historically as a hub for influential American music recording.
  • B. Tuscaloosa metropolitan area
    The Tuscaloosa metropolitan area is a regional urban and economic hub in west-central Alabama centered on the city of Tuscaloosa and its surrounding communities.
  • C. Gadsden Metropolitan Statistical Area
    The Gadsden Metropolitan Statistical Area is a U.S. Census-defined region in northeastern Alabama centered on the city of Gadsden and its surrounding communities for demographic and economic analysis.
  • D. Montgomery metropolitan area
    The Montgomery metropolitan area is a regional urban hub in central Alabama centered on the city of Montgomery and its surrounding communities.
  • E. Auburn metropolitan area
    The Auburn metropolitan area is a regional urban and suburban community centered on the city of Auburn, typically encompassing its surrounding towns and economic hinterland.
  • F. None of above. chosen

Provenance (2 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197f1e0588190bf073b92be0bf9e4 completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:16 p.m.