Triple

T3976025
Position Surface form Disambiguated ID Type / Status
Subject Supai, Arizona E85643 entity
Predicate hasReservationSystemFor P6095 FINISHED
Object tourist permits 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: tourist permits | Statement: [Supai, Arizona, hasReservationSystemFor, tourist permits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReservationSystemFor
Context triple: [Supai, Arizona, hasReservationSystemFor, tourist permits]
  • A. reservationSystem chosen
    Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
  • B. hasCheckInSystem
    Indicates that an entity uses or is equipped with a system for registering or recording check-ins.
  • C. hasOnlineReservation
    Indicates that an entity has a booking or reservation that was made or is managed through an online system.
  • D. containsReservation
    Indicates that one entity includes or holds a reservation associated with another entity.
  • E. modernReservation
    Indicates that an entity is a contemporary or currently active reservation associated with another entity (such as a group, person, or place).
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8f252b081909749d40440d372b2 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.