Triple

T6457617
Position Surface form Disambiguated ID Type / Status
Subject C-2 E142031 entity
Predicate isPassengerService P24627 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: [C-2, isPassengerService, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPassengerService
Context triple: [C-2, isPassengerService, true]
  • A. hasPassengerServicesTo
    Indicates that a transportation provider operates passenger services connecting one location or entity to another.
  • B. hasPassengerOnlyService chosen
    Indicates that the service provided involves only the transportation of passengers, with no freight or cargo component.
  • C. hasPassengerUsageCategory
    Indicates the classification of how a passenger-related resource or service is used (e.g., its usage type or category for passengers).
  • D. formerPassengerService
    Indicates that an entity previously provided passenger transportation services but no longer does so.
  • E. hasPassengerRole
    Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d758508190b9c7358ef84f8169 completed March 22, 2026, 10:14 p.m.
PD Predicate disambiguation batch_69c0673b44148190aed70084f0ff4992 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:48 p.m.