Triple

T11618114
Position Surface form Disambiguated ID Type / Status
Subject Boxing Day floods 2015 E275560 entity
Predicate affectedArea P1586 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: [Boxing Day floods 2015, affectedArea, Todmorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todmorden
Context triple: [Boxing Day floods 2015, affectedArea, 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08f811ff481908e2c14902a3361a2 completed April 28, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:38 p.m.