Triple

T1360477
Position Surface form Disambiguated ID Type / Status
Subject Tameside E29087 entity
Predicate contains P35 FINISHED
Object Mossley E59151 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: Mossley | Statement: [Tameside, contains, Mossley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mossley
Context triple: [Tameside, contains, Mossley]
  • A. Mossley chosen
    Mossley is a small town in Greater Manchester, England, situated in the Tame Valley between Manchester and Huddersfield.
  • B. Arnside
    Arnside is a coastal village in Cumbria, England, known for its scenic views over Morecambe Bay and its status as a gateway to the Arnside and Silverdale Area of Outstanding Natural Beauty.
  • C. Droylsden
    Droylsden is a town in Greater Manchester, England, historically part of Lancashire and now a residential suburb of Manchester.
  • D. Milnrow
    Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
  • E. Collyhurst
    Collyhurst is an inner-city district of Manchester, England, known historically for its red sandstone quarries and working-class residential character.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b156b081909c99ada70a969fc0 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde181b388190a2093f21717d5aa8 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:56 p.m.