Triple

T6436309
Position Surface form Disambiguated ID Type / Status
Subject KAP E129904 entity
Predicate associatedWith P37 FINISHED
Object IATA airline Cape Air E24785 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: IATA airline Cape Air | Statement: [KAP, associatedWith, IATA airline Cape Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IATA airline Cape Air
Context triple: [KAP, associatedWith, IATA airline Cape Air]
  • A. Cape Air chosen
    Cape Air is a U.S.-based regional airline known for operating short-haul commuter flights, primarily in the Northeast, Midwest, Montana, the Caribbean, and Micronesia.
  • B. ATA Airlines
    ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
  • C. Atlantic Airways
    Atlantic Airways is the national airline of the Faroe Islands, operating domestic helicopter services and international flights primarily within Europe.
  • D. Calafia Airlines
    Calafia Airlines is a regional Mexican airline based in Baja California Sur that operates domestic routes across the Baja Peninsula and other destinations in Mexico.
  • E. TACA Airlines
    TACA Airlines was a major Central American airline based in El Salvador that operated an extensive regional and international route network before merging with Avianca.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069622eb881908b40fc8079d312d6 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640f2915c8190aea3578dcd77dd5f completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.