Triple

T25715485
Position Surface form Disambiguated ID Type / Status
Subject FLYER E644850 entity
Predicate usedWithIcaoCode P36333 FINISHED
Object CFE NE NERFINISHED

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: CFE | Statement: [FLYER, usedWithIcaoCode, CFE]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedWithIcaoCode
Context triple: [FLYER, usedWithIcaoCode, CFE]
  • A. associatedWithICAOcode chosen
    Indicates a relationship where an entity is linked to, or identified by, a specific ICAO (International Civil Aviation Organization) code.
  • B. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • C. hasIcaoAirport
    Indicates that an entity is associated with an airport identified by a specific ICAO (International Civil Aviation Organization) airport code.
  • D. ICAOEngineCode
    Indicates that an engine is identified or classified by a specific ICAO (International Civil Aviation Organization) engine code.
  • E. hasICAOComplement
    Indicates that one entity serves as an ICAO-standard complement or additional code/information corresponding to another entity’s primary ICAO designation.
  • F. None of above.

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_69e77e8476fc8190bd5e9d05b89fad0a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f621fcea1481909b6f8b3af1ee6820 completed May 2, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69f620dc38088190b56b2b15ed75b3c2 completed May 2, 2026, 4:05 p.m.
Created at: April 21, 2026, 9:40 p.m.