Triple

T17548935
Position Surface form Disambiguated ID Type / Status
Subject Auburn Municipal Airport E427402 entity
Predicate servesCommunity P82 FINISHED
Object Auburn 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: Auburn metropolitan area | Statement: [Auburn Municipal Airport, servesCommunity, Auburn metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn metropolitan area
Context triple: [Auburn Municipal Airport, servesCommunity, Auburn metropolitan area]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Bessemer metropolitan area
    The Bessemer metropolitan area is an urban region centered around the city of Bessemer, Alabama, encompassing its surrounding communities and serving as a local hub for education, commerce, and residential life.
  • E. Augusta micropolitan area
    The Augusta micropolitan area is a small urban region in central Maine centered on the city of Augusta and its surrounding communities, typically defined for statistical and economic analysis.
  • 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: Auburn metropolitan area
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Bessemer metropolitan area
    The Bessemer metropolitan area is an urban region centered around the city of Bessemer, Alabama, encompassing its surrounding communities and serving as a local hub for education, commerce, and residential life.
  • E. Augusta micropolitan area
    The Augusta micropolitan area is a small urban region in central Maine centered on the city of Augusta and its surrounding communities, typically defined for statistical and economic analysis.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.