Triple

T18433446
Position Surface form Disambiguated ID Type / Status
Subject Chattanooga Metropolitan Airport E450330 entity
Predicate FAAcode P420 FINISHED
Object CHA 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: CHA | Statement: [Chattanooga Metropolitan Airport, FAAcode, CHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHA
Context triple: [Chattanooga Metropolitan Airport, FAAcode, CHA]
  • A. CHA
    The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
  • B. CHA
    CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
  • C. CHA
    CHA is the vehicle registration code for the city of Cham in Germany.
  • D. CHA
    CHA is the standard abbreviation used for the Charlottetown Islanders, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League based in Charlottetown, Prince Edward Island.
  • E. CHA chosen
    CHA is the three-letter IATA airport code for Chattanooga Metropolitan Airport in Chattanooga, Tennessee.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b1915d88190a1ecd81cd78ee7d2 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:27 a.m.