Triple

T11618116
Position Surface form Disambiguated ID Type / Status
Subject Boxing Day floods 2015 E275560 entity
Predicate affectedArea P1586 FINISHED
Object Rochdale E35497 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: Rochdale | Statement: [Boxing Day floods 2015, affectedArea, Rochdale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochdale
Context triple: [Boxing Day floods 2015, affectedArea, Rochdale]
  • A. Rochdale chosen
    Rochdale is a large town in Greater Manchester, England, historically known as a mill town and cooperative movement birthplace, now serving as a residential and commercial hub connected by rail to Manchester.
  • B. Oldham
    Oldham is an English-origin surname borne by various notable individuals across literature, politics, and other fields.
  • C. Wigan
    Wigan is a large town in North West England known historically for its coal mining and cotton industries and today for its rugby league and football clubs.
  • D. Todmorden
    Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
  • E. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • 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_69f13010e394819099b648db07f1193c completed April 28, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:38 p.m.