Triple

T26840926
Position Surface form Disambiguated ID Type / Status
Subject CBE E675772 entity
Predicate usedInReservationSystemsOf P62319 FINISHED
Object Indian Railways NE NERFINISHED

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: Indian Railways | Statement: [CBE, usedInReservationSystemsOf, Indian Railways]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInReservationSystemsOf
Context triple: [CBE, usedInReservationSystemsOf, Indian Railways]
  • A. hasReservationSystem chosen
    Indicates that an entity uses or is equipped with a system for managing reservations or bookings.
  • B. reservationSystem
    Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
  • C. usedInSchedulingSystems
    Indicates that something is employed as a component or mechanism within scheduling systems to plan, allocate, or manage tasks, resources, or time.
  • D. isReservationOf
    Indicates that a given reservation entity is specifically associated with, or made for, a particular resource, service, or event.
  • E. reservationAlsoIn
    Indicates that a reservation is additionally included or valid in another context, system, or location beyond its primary one.
  • 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_69eee9b8d5e88190a07d3455c0fbb21f completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 27, 2026, 5:08 a.m.