Triple

T8912336
Position Surface form Disambiguated ID Type / Status
Subject Museum of the Manchester Regiment E212213 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: [Museum of the Manchester Regiment, locatedIn, Tameside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tameside
Context triple: [Museum of the Manchester Regiment, 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. Oldham
    Oldham is an English-origin surname borne by various notable individuals across literature, politics, and other fields.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6525d1408190a76522d7c4ac37da completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba3c92c481909589e6a3c9469136 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:56 p.m.