Triple

T15308109
Position Surface form Disambiguated ID Type / Status
Subject Cabonne Shire E365955 entity
Predicate hasLocality P7943 FINISHED
Object Borenore E378014 NE 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: Borenore | Statement: [Cabonne Shire, hasLocality, Borenore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borenore
Context triple: [Cabonne Shire, hasLocality, Borenore]
  • A. Borenore chosen
    Borenore is a small rural locality in the Central West region of New South Wales, Australia, known for its agricultural surroundings and nearby limestone caves.
  • B. Borodale
    Borodale is a scenic valley in the Lake District of Cumbria, England, known for its dramatic landscapes, woodlands, and proximity to Derwentwater.
  • C. Balnamoon
    Balnamoon is a historic Scottish estate associated with the Carnegie family, notably James Carnegie of Balnamoon.
  • D. Brobenah
    Brobenah is a rural locality within the Leeton Shire area of New South Wales, Australia.
  • E. Berriedale
    Berriedale is a riverside suburb of Hobart, Tasmania, best known as the home of the Museum of Old and New Art (MONA).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd001b48190bbdd69337efdb907 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89feda88190b18f6a03d6e968aa completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.