Triple

T2864059
Position Surface form Disambiguated ID Type / Status
Subject EWR E63393 entity
Predicate supportsCargoOperations P2420 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: [EWR, supportsCargoOperations, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCargoOperations
Context triple: [EWR, supportsCargoOperations, true]
  • A. hasCargoServices
    Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
  • B. hasCargoTerminal chosen
    Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
  • C. cargoLoading
    Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
  • D. hasCargoDivision
    Indicates that an organization possesses a specific division or unit responsible for cargo-related operations or services.
  • E. hasCargoAirline
    Indicates that one entity operates as a cargo airline for, or provides cargo air transport services to, another entity.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb853908190aa2fd492e9fa5e87 completed March 7, 2026, 8:20 a.m.
PD Predicate disambiguation batch_69abdd123ec48190af50a1859aea50b7 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:02 p.m.