Triple

T15683398
Position Surface form Disambiguated ID Type / Status
Subject Mandara Hut E377634 entity
Predicate hasBookingPolicy P77964 FINISHED
Object usually arranged through licensed tour operators 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: usually arranged through licensed tour operators | Statement: [Mandara Hut, hasBookingPolicy, usually arranged through licensed tour operators]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBookingPolicy
Context triple: [Mandara Hut, hasBookingPolicy, usually arranged through licensed tour operators]
  • A. hasReservationPolicy
    Indicates that an entity specifies or is governed by a particular policy regarding how reservations are made, managed, or honored.
  • B. bookingPolicy chosen
    Indicates the rules or conditions that govern how bookings or reservations can be made, modified, or canceled between parties.
  • C. accommodationPolicy
    Indicates the rules or guidelines that govern how accommodations are provided, used, or managed in a given context.
  • D. hasBookingChannel
    Indicates that an entity is associated with or obtained through a particular method or platform used to make a booking.
  • E. checkInPolicy
    Indicates the rules or conditions governing when and how an entity is allowed to check in (e.g., arrive, register, or log presence) in relation to another entity or context.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8c856c8190882330114f9a1a5f completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:17 a.m.