Triple

T2808106
Position Surface form Disambiguated ID Type / Status
Subject Greenfield E54101 entity
Predicate traditionalArea P14194 FINISHED
Object Saddleworth E74900 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: Saddleworth | Statement: [Greenfield, traditionalArea, Saddleworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saddleworth
Context triple: [Greenfield, traditionalArea, Saddleworth]
  • A. Saddleworth chosen
    Saddleworth is a civil parish and rural area in the Pennines of Greater Manchester, England, known for its moorland landscapes, historic villages, and traditional cultural events.
  • B. Knowsley
    Knowsley is a metropolitan borough in North West England, known for its mix of residential communities, industrial areas, and attractions such as Knowsley Safari Park.
  • C. Ramsbottom
    Ramsbottom is a small market town in Greater Manchester, England, known for its industrial heritage, scenic Irwell Valley setting, and preserved East Lancashire Railway.
  • D. Linthwaite
    Linthwaite is a village in West Yorkshire, England, situated in the Colne Valley to the southwest of Huddersfield.
  • E. Tyldesley
    Tyldesley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage, particularly in coal mining and textiles.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2fdcf88190a52e515c166ea8f7 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03127f0808190841fa2572baaf5a7 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 9:59 p.m.