Triple

T22099899
Position Surface form Disambiguated ID Type / Status
Subject Clem Clempson E546141 entity
Predicate placeOfBirth P1 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: [Clem Clempson, placeOfBirth, Tamworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamworth
Context triple: [Clem Clempson, placeOfBirth, 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291440048190992c48893ced0b34 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.