Triple

T15765276
Position Surface form Disambiguated ID Type / Status
Subject Chubu Centrair International Airport E382203 entity
Predicate alternativeName P39 FINISHED
Object Centrair E382206 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: Centrair | Statement: [Chubu Centrair International Airport, alternativeName, Centrair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centrair
Context triple: [Chubu Centrair International Airport, alternativeName, Centrair]
  • A. Centrair chosen
    Centrair is a major international airport serving Japan’s Chubu region, located on an artificial island in Ise Bay near Nagoya.
  • B. Consair
    Consair is an abbreviated name historically used for Consolidated Aircraft, a major American aerospace manufacturer known for producing military aircraft such as the B-24 Liberator during World War II.
  • C. Canair
    Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
  • D. Pascan Aviation
    Pascan Aviation is a Canadian regional airline based in Quebec that operates scheduled passenger services to smaller communities, primarily within the province.
  • E. Beechcraft
    Beechcraft is an American aircraft manufacturer known for producing a wide range of civil and military airplanes, including popular training, business, and utility aircraft.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87789914819097b56482cb8984c7 completed May 9, 2026, 7:14 p.m.
Created at: April 10, 2026, 4:47 a.m.