Triple

T6035132
Position Surface form Disambiguated ID Type / Status
Subject Denton E134399 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: [Denton, locatedIn, Tameside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tameside
Context triple: [Denton, 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b33a7c8190ad6282286199b192 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11388aec881908408d5844c96ea2d completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.