Triple

T16079163
Position Surface form Disambiguated ID Type / Status
Subject Runway 17L/35R E390054 entity
Predicate hasIataAirportCode P2569 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 17L/35R, hasIataAirportCode, CGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CGH
Context triple: [Runway 17L/35R, hasIataAirportCode, 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18448bebc8190b0e84b1da097bf8b completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.