Triple

T21660600
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Alabama E534583 entity
Predicate includesCity P3207 FINISHED
Object Foley, Alabama NE NERFINISHED

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: [Southwestern Alabama, includesCity, Foley, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foley, Alabama
Context triple: [Southwestern Alabama, includesCity, 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. Fountain, Alabama
    Fountain, Alabama is a small unincorporated community located in rural Monroe County in the southern part of the state.
  • C. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • D. Fulton, Alabama
    Fulton, Alabama is a small incorporated town located in Clarke County in the southwestern part of the state.
  • E. Fayetteville, Alabama
    Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c07bcb88190a9864672c20325ff completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.