Triple

T19192021
Position Surface form Disambiguated ID Type / Status
Subject Garib Rath Express E469862 entity
Predicate ticketReservationSystem P6095 FINISHED
Object Indian Railways passenger reservation system 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: Indian Railways passenger reservation system | Statement: [Garib Rath Express, ticketReservationSystem, Indian Railways passenger reservation system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketReservationSystem
Context triple: [Garib Rath Express, ticketReservationSystem, Indian Railways passenger reservation system]
  • A. ticketReservation
    Indicates the act of securing one or more tickets in advance for a specific event, service, or journey.
  • B. ticketDemand
    Indicates that there is a level of desire or need among potential buyers for tickets to an event, service, or offering.
  • C. ticketClassSystem
    Indicates that an entity is classified within a particular ticketing or fare class system that defines categories or levels of tickets.
  • D. reservationSystem chosen
    Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
  • E. serviceTheater
    Indicates that a service or activity is performed in, for, or in relation to a theater or theatrical venue.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a3434881908acc4063a9ee9386 completed April 20, 2026, 9:57 a.m.
PD Predicate disambiguation batch_69e4b9bb158481909478ca2e06f3ba39 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:07 p.m.