Triple

T17033808
Position Surface form Disambiguated ID Type / Status
Subject Workington (UK Parliament constituency) E413266 entity
Predicate majorTown P316 FINISHED
Object Maryport E207408 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: Maryport | Statement: [Workington (UK Parliament constituency), majorTown, Maryport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maryport
Context triple: [Workington (UK Parliament constituency), majorTown, Maryport]
  • A. Maryport chosen
    Maryport is a coastal town in Cumbria, England, known for its historic harbor, Roman heritage, and maritime history.
  • B. Tynemouth
    Tynemouth is a coastal town in Tyne and Wear, England, known for its historic priory and castle overlooking long sandy beaches at the mouth of the River Tyne.
  • 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. 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. 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8eea4448190bd2eed88de2b4e73 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012336cfd481909f93c6ea7c94b49f completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.