Triple

T15997184
Position Surface form Disambiguated ID Type / Status
Subject Runway 17R/35L E388000 entity
Predicate isAssociatedWithIATAAirportCode P45234 FINISHED
Object CGH E293532 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: CGH | Statement: [Runway 17R/35L, isAssociatedWithIATAAirportCode, CGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CGH
Context triple: [Runway 17R/35L, isAssociatedWithIATAAirportCode, CGH]
  • A. CGH chosen
    CGH is the IATA airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • B. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • C. GCH
    GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
  • D. CGCT
    CGCT is the standard abbreviation for the French Code général des collectivités territoriales, the legal framework governing the organization and functioning of local authorities in France.
  • E. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157882ef0819081143e530bd6413c completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.