Triple

T6996695
Position Surface form Disambiguated ID Type / Status
Subject Westmorland and Furness E162232 entity
Predicate containsTown P847 FINISHED
Object Barrow-in-Furness E68332 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: Barrow-in-Furness | Statement: [Westmorland and Furness, containsTown, Barrow-in-Furness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrow-in-Furness
Context triple: [Westmorland and Furness, containsTown, Barrow-in-Furness]
  • A. Barrow-in-Furness chosen
    Barrow-in-Furness is a coastal industrial town in Cumbria, England, historically known for its shipbuilding and submarine construction.
  • B. Wallasey
    Wallasey is a coastal town on the Wirral Peninsula in northwest England, situated at the mouth of the River Mersey opposite Liverpool.
  • C. Workington
    Workington is a coastal town and port on the west coast of England, historically known for its steel and coal industries and situated at the mouth of the River Derwent.
  • D. Cockermouth
    Cockermouth is a historic market town in Cumbria, England, known for its Georgian architecture and literary associations, particularly with the poet William Wordsworth.
  • E. Maghull
    Maghull is a suburban town in Merseyside, England, situated to the north of Liverpool and functioning largely as a residential commuter area.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775573c84819081f34ab2b14b700a completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:32 p.m.