Triple

T15694489
Position Surface form Disambiguated ID Type / Status
Subject Calder Valley E380422 entity
Predicate containsTown P847 FINISHED
Object Todmorden E49690 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: Todmorden | Statement: [Calder Valley, containsTown, Todmorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todmorden
Context triple: [Calder Valley, containsTown, Todmorden]
  • A. Todmorden chosen
    Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
  • B. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • C. Ilkley
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • D. Rothwell
    Rothwell is a town in Northamptonshire, England, situated near Kettering and known for its historic market heritage.
  • E. Rothwell
    Rothwell is a town in West Yorkshire, England, situated near Leeds and historically known for its coal mining and market traditions.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eed9a8c8190a57ffce61a27ec17 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.