Triple

T14621143
Position Surface form Disambiguated ID Type / Status
Subject Dalton-in-Furness E343223 entity
Predicate parliamentaryConstituency P2710 FINISHED
Object Barrow and Furness E813964 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 and Furness | Statement: [Dalton-in-Furness, parliamentaryConstituency, Barrow and Furness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrow and Furness
Context triple: [Dalton-in-Furness, parliamentaryConstituency, Barrow and Furness]
  • A. Barrow and Furness chosen
    Barrow and Furness is a UK parliamentary constituency in Cumbria that includes the industrial town of Barrow-in-Furness and surrounding areas.
  • B. Furness
    Furness is an English-origin surname borne by various notable figures, including scholars, architects, and public officials.
  • C. Barrow-in-Furness
    Barrow-in-Furness is a coastal industrial town in Cumbria, England, historically known for its shipbuilding and submarine construction.
  • D. 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.
  • E. Cumbria
    Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92688a08190bb27434acc7c12e7 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.