Triple

T21015722
Position Surface form Disambiguated ID Type / Status
Subject West Yorkshire derbies E517667 entity
Predicate teamBasedIn P7424 FINISHED
Object Huddersfield NE NERFINISHED

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: Huddersfield | Statement: [West Yorkshire derbies, teamBasedIn, Huddersfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huddersfield
Context triple: [West Yorkshire derbies, teamBasedIn, Huddersfield]
  • A. Huddersfield chosen
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • B. Todmorden
    Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
  • C. Bradford
    Bradford is a town in Ontario, Canada, serving as the main urban centre of the municipality of Bradford West Gwillimbury.
  • D. Bradford
    Bradford is a masculine given name of Old English origin, traditionally meaning "broad ford" and used both as a first name and surname.
  • E. Bradford
    Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc58272881908a61eda7755ed332 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.