Triple

T18096358
Position Surface form Disambiguated ID Type / Status
Subject Mobile Downtown Airport E433097 entity
Predicate FAA LID P420 FINISHED
Object BFM 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: BFM | Statement: [Mobile Downtown Airport, FAA LID, BFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BFM
Context triple: [Mobile Downtown Airport, FAA LID, BFM]
  • A. BFM chosen
    BFM is the IATA airport code for Mobile Downtown Airport, a public airport serving the Mobile, Alabama area.
  • B. BFM TV
    BFM TV is a major French 24-hour rolling news television channel known for live coverage of national and international events.
  • C. BFM Jazz
    BFM Jazz is an independent jazz record label known for producing and promoting contemporary jazz artists and ensembles.
  • D. FM4
    FM4 is an Austrian national radio station known for its alternative music programming and youth-oriented cultural content.
  • E. FMI
    FMI is the vehicle registration code assigned to the town of Międzyrzecz in western Poland.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1c56848190be0b8c80b30dba6c completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.