Triple

T14247173
Position Surface form Disambiguated ID Type / Status
Subject New England region of New South Wales E353165 entity
Predicate containsSettlement P847 FINISHED
Object Tenterfield E73709 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: Tenterfield | Statement: [New England region of New South Wales, containsSettlement, Tenterfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenterfield
Context triple: [New England region of New South Wales, containsSettlement, Tenterfield]
  • A. Tenterfield chosen
    Tenterfield is a historic rural town in New South Wales, Australia, known for its heritage architecture and role in Australian federation history.
  • B. 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.
  • C. Booral
    Booral is a small rural locality in New South Wales, Australia, known for its riverside setting and agricultural surroundings.
  • D. Inverell
    Inverell is a rural town in northern New South Wales, Australia, known for its sapphire mining and agricultural production.
  • E. Mudgee
    Mudgee is a historic town in New South Wales, Australia, renowned for its cool-climate wineries, heritage architecture, and vibrant food and wine tourism.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de629464f88190817b190731bab156 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcd67f081909f97bcf38d814a13 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:08 a.m.