Triple

T10382513
Position Surface form Disambiguated ID Type / Status
Subject Foley Municipal Airport E244675 entity
Predicate hasCityServed P3936 FINISHED
Object Foley E98096 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 | Statement: [Foley Municipal Airport, hasCityServed, Foley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foley
Context triple: [Foley Municipal Airport, hasCityServed, Foley]
  • A. Foley chosen
    Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
  • B. Foley
    Foley is a common Irish surname historically associated with families from County Waterford and surrounding regions.
  • C. Foley's
    Foley's was a regional department store chain in the United States, primarily based in Texas and the Southwest, that was eventually absorbed into the Macy's brand.
  • D. Fink
    Fink is a British singer-songwriter and producer known for his atmospheric blend of folk, blues, and electronic music.
  • E. Fink
    Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
  • 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.