Triple

T14128040
Position Surface form Disambiguated ID Type / Status
Subject Tamworth E340084 entity
Predicate electorateState P19338 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: [Tamworth, electorateState, Tamworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamworth
Context triple: [Tamworth, electorateState, 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06cddcc81909a1ba268f667dc1d completed May 8, 2026, 2:17 p.m.
Created at: April 9, 2026, 10:22 p.m.