Triple

T29604535
Position Surface form Disambiguated ID Type / Status
Subject GOJ E754540 entity
Predicate handlesPassengerFlights P18240 FINISHED
Object Yes LITERAL 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: Yes | Statement: [GOJ, handlesPassengerFlights, Yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handlesPassengerFlights
Context triple: [GOJ, handlesPassengerFlights, Yes]
  • A. passengerFlight
    Indicates a relationship where a flight is specifically operated to transport passengers rather than cargo or other purposes.
  • B. hasPassengerAirlineService
    Indicates that a location or facility is served by scheduled passenger airline flights.
  • C. hasPassengerHandling chosen
    Indicates that an entity is responsible for or involved in managing the processes and services related to handling passengers.
  • D. usedForPassengerFlights
    Indicates that something serves as a means or facility for transporting passengers on flights.
  • E. hasPassengerOperator
    Indicates that an entity (such as a vehicle or service) is operated by an organization or person responsible for carrying passengers.
  • 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_69f0ef84e5d08190a0df17f5930ceed3 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 28, 2026, 6:24 p.m.