Triple

T2088431
Position Surface form Disambiguated ID Type / Status
Subject SAN E32609 entity
Predicate usedForCargoFlights P7940 FINISHED
Object true 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: true | Statement: [SAN, usedForCargoFlights, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedForCargoFlights
Context triple: [SAN, usedForCargoFlights, true]
  • A. airlinesUse
    Indicates that certain airlines operate, employ, or make use of a specified resource, service, or system.
  • B. usedByAircraftType
    Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
  • C. hasCargoAirline
    Indicates that one entity operates as a cargo airline for, or provides cargo air transport services to, another entity.
  • D. usedInAviation chosen
    Indicates that something is employed or applied within the field or context of aviation.
  • E. usesCarrierAircraft
    Indicates that one entity employs or operates aircraft that are designed to be launched from and recovered by an aircraft carrier.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba712388819091d68a4bb99f6b17 completed March 7, 2026, 5:41 a.m.
PD Predicate disambiguation batch_69abb7b4356881909217c42ccb8bb1ed completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.