Triple

T2146534
Position Surface form Disambiguated ID Type / Status
Subject William Hague E47078 entity
Predicate placeOfBirth P1 FINISHED
Object Rotherham E138767 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: Rotherham | Statement: [William Hague, placeOfBirth, Rotherham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotherham
Context triple: [William Hague, placeOfBirth, Rotherham]
  • A. Rotherham chosen
    Rotherham is a large town in South Yorkshire, England, historically known for its coal mining and steel industries and now part of the wider Sheffield urban area.
  • B. Barnsley
    Barnsley is a large market town and former industrial centre in South Yorkshire, England, historically known for coal mining and glassmaking.
  • C. Todmorden
    Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
  • D. Doncaster
    Doncaster is a large town and metropolitan borough in South Yorkshire, England, known historically for its railway heritage, horse racing, and role as a regional commercial center.
  • E. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe25d8848190a3ba691668a68e37 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95f487708190b06a536dd20a069a completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:44 p.m.