Triple

T18198697
Position Surface form Disambiguated ID Type / Status
Subject River Worth E435725 entity
Predicate near P350 FINISHED
Object Bronte Country 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: Bronte Country | Statement: [River Worth, near, Bronte Country]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronte Country
Context triple: [River Worth, near, Bronte Country]
  • A. Brontë Country chosen
    Brontë Country is a picturesque area of moorland and villages in West Yorkshire, England, famed as the landscape that inspired the novels of the Brontë sisters.
  • B. Westmorland, England
    Westmorland, England is a historic county in northwestern England known for its rural landscapes and parts of the Lake District.
  • C. Duchy of Bronté
    The Duchy of Bronté was a feudal estate in eastern Sicily granted in 1799 to Admiral Horatio Nelson, giving him the title Duke of Bronté and linking the area to British naval history.
  • D. Northern Moor
    Northern Moor is a suburban residential area in south Manchester, England, known for its local amenities and tram links into the city centre.
  • E. Cottingley
    Cottingley is a residential area in Leeds, West Yorkshire, England, known for its housing estate and local transport links.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.