Triple

T32975592
Position Surface form Disambiguated ID Type / Status
Subject XY E843650 entity
Predicate operatorAirlineCallsign P78301 FINISHED
Object NAS EXPRESS 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: NAS EXPRESS | Statement: [XY, operatorAirlineCallsign, NAS EXPRESS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatorAirlineCallsign
Context triple: [XY, operatorAirlineCallsign, NAS EXPRESS]
  • A. operatingAirlineCallsign chosen
    Indicates the radio callsign used by the airline that is actually operating the flight.
  • B. airlineICAOcallsign
    Indicates the official ICAO radio callsign phrase used to identify a specific airline in air traffic communications.
  • C. airlineCommonName
    Indicates the commonly used or publicly recognized name by which an airline is known.
  • D. aircraftOperator
    Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
  • E. hasUnderlyingAirlineCallsign
    Indicates that an airline-related entity is associated with a specific underlying airline callsign used for identification in air traffic communications.
  • 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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a004c41f13c8190bc47daf6a5ca3949 completed May 10, 2026, 9:13 a.m.
PD Predicate disambiguation batch_6a004bce3e3081909b35ae5b3bf2b35e completed May 10, 2026, 9:11 a.m.
Created at: May 1, 2026, 1:22 a.m.