Triple

T7346734
Position Surface form Disambiguated ID Type / Status
Subject GrabCar E169397 entity
Predicate bookingModel P76710 FINISHED
Object point-to-point transport 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: point-to-point transport | Statement: [GrabCar, bookingModel, point-to-point transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bookingModel
Context triple: [GrabCar, bookingModel, point-to-point transport]
  • A. bookingOption
    Indicates a selectable arrangement or choice available for making a booking, such as a specific time, package, or set of conditions under which a reservation can be made.
  • B. reservationSystem
    Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
  • C. mainReservation
    Indicates that one reservation is designated as the primary or central booking associated with a person, account, or set of related reservations.
  • D. modernReservation
    Indicates that an entity is a contemporary or currently active reservation associated with another entity (such as a group, person, or place).
  • E. alsoBookableAs
    Indicates that one entity can be reserved or booked in an alternative way or under an alternative option represented by another entity.
  • F. None of above. chosen

Provenance (4 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f139505c8190a7158cf59a6e089e completed March 27, 2026, 9:06 p.m.
PD Predicate disambiguation batch_69c6f02aeeb8819099d1626566cec18b completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f1379cac81908b35e617c44c7b13 completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 3:05 p.m.