Triple

T4354348
Position Surface form Disambiguated ID Type / Status
Subject Mobile Regional Airport E98108 entity
Predicate operator P179 FINISHED
Object Mobile Airport Authority E433095 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: Mobile Airport Authority | Statement: [Mobile Regional Airport, operator, Mobile Airport Authority]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile Airport Authority
Context triple: [Mobile Regional Airport, operator, Mobile Airport Authority]
  • A. Mobile Airport Authority chosen
    Mobile Airport Authority is the public agency responsible for operating and managing the airport system serving the Mobile, Alabama area.
  • B. Mobile Regional Airport
    Mobile Regional Airport is a public airport serving commercial and general aviation traffic for the Mobile, Alabama metropolitan area.
  • C. Mobile Downtown Airport
    Mobile Downtown Airport is a public airport serving the city of Mobile and the surrounding region in Alabama, primarily handling general aviation and some commercial and cargo operations.
  • D. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
  • E. Airport Line
    Airport Line is a railway line in Japan that connects urban areas to Kansai International Airport, operated by the private Nankai Electric Railway company.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c3aa1c8190aacebb8e80e5f2f8 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4fdee688190806edebd05a23570 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:15 p.m.