Triple

T11753929
Position Surface form Disambiguated ID Type / Status
Subject Henry Venn E279475 entity
Predicate workLocation P7 FINISHED
Object Huddersfield E42265 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: Huddersfield | Statement: [Henry Venn, workLocation, Huddersfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huddersfield
Context triple: [Henry Venn, workLocation, 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 (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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50b8a14819092a7397d73f0a8e3 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018d260488190a8c716787247797f completed April 28, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:41 p.m.