Triple

T5698283
Position Surface form Disambiguated ID Type / Status
Subject Æthelflæd E125593 entity
Predicate fortified P22477 FINISHED
Object Tamworth E69992 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: [Æthelflæd, fortified, Tamworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamworth
Context triple: [Æthelflæd, fortified, Tamworth]
  • A. 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.
  • B. 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.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240ecef48190bdef10b38ecb2bd0 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097e576a481909b918bfc93082fa9 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:45 p.m.