Triple

T14826741
Position Surface form Disambiguated ID Type / Status
Subject Quirindi E348594 entity
Predicate hasNearbyTown P3883 FINISHED
Object Tamworth E340084 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: Tamworth | Statement: [Quirindi, hasNearbyTown, Tamworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamworth
Context triple: [Quirindi, hasNearbyTown, Tamworth]
  • A. Tamworth chosen
    Tamworth is a major regional city in inland New South Wales, Australia, best known as the country music capital of Australia and a key agricultural and service hub.
  • B. Tamworth
    Tamworth is a historic market town in Staffordshire, England, known as the political base of Sir Robert Peel and for giving its name to the Tamworth Manifesto that helped shape the modern Conservative Party.
  • C. Swan Hill
    Swan Hill is a regional city in north-western Victoria, Australia, known for its agriculture, historic river port, and tourism along the Murray River.
  • D. Wagga Wagga
    Wagga Wagga is a major regional city in New South Wales, Australia, known as an important agricultural, military, and transport hub in the Riverina region.
  • E. Moree
    Moree is a prominent agricultural and service town in northern New South Wales, Australia, known especially for its cotton industry and artesian hot springs.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0713700819097bbb0352650984b completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5e176081909e822881a866ecec completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 1:51 a.m.