Triple

T15203442
Position Surface form Disambiguated ID Type / Status
Subject A66 road E363323 entity
Predicate westernTerminus P388 FINISHED
Object Workington E90248 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: Workington | Statement: [A66 road, westernTerminus, Workington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Workington
Context triple: [A66 road, westernTerminus, Workington]
  • A. Workington chosen
    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.
  • B. Wooler
    Wooler is a small market town and gateway to the Cheviot Hills in northern England.
  • C. Cockermouth
    Cockermouth is a historic market town in Cumbria, England, known for its Georgian architecture and literary associations, particularly with the poet William Wordsworth.
  • D. Seascale
    Seascale is a coastal village in Cumbria, England, known for its proximity to the Sellafield nuclear reprocessing and decommissioning site.
  • E. Barrow-in-Furness
    Barrow-in-Furness is a coastal industrial town in Cumbria, England, historically known for its shipbuilding and submarine construction.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef88f8ac881908ca32de44b5aa53a completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:10 a.m.