Triple

T20022065
Position Surface form Disambiguated ID Type / Status
Subject River Anker E494886 entity
Predicate flowsThrough P225 FINISHED
Object Tamworth NE NERFINISHED

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: [River Anker, flowsThrough, Tamworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamworth
Context triple: [River Anker, flowsThrough, Tamworth]
  • A. Tamworth
    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 chosen
    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 (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.