Triple

T13093990
Position Surface form Disambiguated ID Type / Status
Subject Sam Ratulangi International Airport E310532 entity
Predicate isHubFor P423 FINISHED
Object Wings Air E324616 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: Wings Air | Statement: [Sam Ratulangi International Airport, isHubFor, Wings Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wings Air
Context triple: [Sam Ratulangi International Airport, isHubFor, Wings Air]
  • A. Wings Air chosen
    Wings Air is an Indonesian regional airline operating short-haul domestic routes with a focus on connecting smaller cities and remote areas.
  • B. West Air
    West Air is a Chinese low-cost airline based in Chongqing that operates domestic and regional passenger services.
  • C. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • D. Red Wings Airlines
    Red Wings Airlines is a Russian passenger airline that operates scheduled and charter flights, primarily within Russia and to nearby international destinations.
  • E. Silver Airways
    Silver Airways is a U.S. regional airline that primarily operates short-haul flights within Florida and the southeastern United States, as well as to nearby Caribbean destinations.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d617f1908190a2fa147bedede54f completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.