Triple

T9776447
Position Surface form Disambiguated ID Type / Status
Subject Lake Mackenzie Hut E237258 entity
Predicate bookingManagedBy P90588 FINISHED
Object Department of Conservation booking 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: Department of Conservation booking system | Statement: [Lake Mackenzie Hut, bookingManagedBy, Department of Conservation booking system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bookingManagedBy
Context triple: [Lake Mackenzie Hut, bookingManagedBy, Department of Conservation booking system]
  • A. bookingModel
    Indicates a relationship where an entity uses or is associated with a specific model or schema that defines how bookings are structured, processed, or represented.
  • B. attendedBy
    Indicates that an event, place, or activity is participated in or visited by a particular person or group.
  • C. facilitatedBy
    Indicates that an action, process, or relationship occurs or is made easier through the assistance, support, or enabling role of a particular agent or mechanism.
  • D. laterManagedBy
    Indicates that an entity was, at a subsequent time, managed or overseen by another entity.
  • E. venueManaged
    Indicates that one entity is responsible for operating, organizing, or overseeing the management of a particular venue.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1325a988190a07a3dc4dce41cb3 completed April 1, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69cd03d3b68c81909e570401a891b9f2 completed April 1, 2026, 11:38 a.m.
PDg Predicate description generation batch_69cd06aa8bc88190904be19c8953def8 completed April 1, 2026, 11:51 a.m.
Created at: March 30, 2026, 8:26 p.m.