Triple

T3660369
Position Surface form Disambiguated ID Type / Status
Subject Central West (New South Wales) E77632 entity
Predicate hasTown P847 FINISHED
Object Mudgee E81296 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: Mudgee | Statement: [Central West (New South Wales), hasTown, Mudgee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mudgee
Context triple: [Central West (New South Wales), hasTown, Mudgee]
  • A. Mudgee chosen
    Mudgee is a historic town in New South Wales, Australia, renowned for its cool-climate wineries, heritage architecture, and vibrant food and wine tourism.
  • B. Inverell
    Inverell is a rural town in northern New South Wales, Australia, known for its sapphire mining and agricultural production.
  • C. Boorowa
    Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
  • D. Crookwell
    Crookwell is a rural town in New South Wales, Australia, known for its grazing agriculture, cool climate, and wind farms.
  • E. Dungog
    Dungog is a small rural town in New South Wales, Australia, known for its historic architecture, dairy farming, and proximity to the Barrington Tops National Park.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d6fa188190a6db5bdae7083573 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627a72da881908e1a4965177727eb completed March 15, 2026, 3:29 a.m.
Created at: March 8, 2026, 3:25 p.m.