Triple

T10382498
Position Surface form Disambiguated ID Type / Status
Subject Foley Municipal Airport E244675 entity
Predicate locatedIn P40 FINISHED
Object Foley, Alabama E343341 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: Foley, Alabama | Statement: [Foley Municipal Airport, locatedIn, Foley, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foley, Alabama
Context triple: [Foley Municipal Airport, locatedIn, Foley, Alabama]
  • A. Foley, Alabama chosen
    Foley, Alabama is a growing Gulf Coast city in southern Alabama known for its tourism, shopping, and proximity to popular beaches.
  • B. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • C. Fayetteville, Alabama
    Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • D. Falkville, Alabama
    Falkville, Alabama is a small town in northern Alabama known for its rural character and location within the Huntsville-Decatur metropolitan area.
  • E. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7959b6c2c819085b606280024c0f9 completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.