Triple

T4178712
Position Surface form Disambiguated ID Type / Status
Subject Hyde E86540 entity
Predicate locatedIn P40 FINISHED
Object Tameside E29087 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: Tameside | Statement: [Hyde, locatedIn, Tameside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tameside
Context triple: [Hyde, locatedIn, Tameside]
  • A. Tameside chosen
    Tameside is a metropolitan borough in North West England, forming part of the Greater Manchester urban area and encompassing several towns east of Manchester city centre.
  • B. Kirklees
    Kirklees is a metropolitan borough in West Yorkshire, England, centered on the towns of Huddersfield and Dewsbury and known for its mix of urban areas and Pennine countryside.
  • C. Salford
    Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
  • D. Salford
    Salford is a small rural village in the West Oxfordshire district of Oxfordshire, England.
  • E. Levenshulme
    Levenshulme is a residential suburb in south Manchester, England, known for its diverse community and vibrant local markets.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af030114c88190b725908a32ace750 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589f5864881909c9fc787dd9b2341 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.