Triple

T2527023
Position Surface form Disambiguated ID Type / Status
Subject Carolinian (New York segment) E56058 entity
Predicate onboardServices P29763 FINISHED
Object reserved seating 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: reserved seating | Statement: [Carolinian (New York segment), onboardServices, reserved seating]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onboardServices
Context triple: [Carolinian (New York segment), onboardServices, reserved seating]
  • A. onBoardService chosen
    Indicates that a service is provided to or available for passengers while they are physically on board a vehicle, vessel, or aircraft.
  • B. hasPassengerServicesTo
    Indicates that a transportation provider operates passenger services connecting one location or entity to another.
  • C. serviceOf
    Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
  • D. offeredService
    Indicates that one entity has provided or made available a service to another entity.
  • E. serviceIn
    Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd255f0d081908d20cfb812c4bfc1 completed March 7, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69abd0c2e34c8190a914d5c2afba147c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.