Triple

T6866693
Position Surface form Disambiguated ID Type / Status
Subject Cullercoats Metro station E158418 entity
Predicate serves P98 FINISHED
Object Cullercoats E606332 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: Cullercoats | Statement: [Cullercoats Metro station, serves, Cullercoats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cullercoats
Context triple: [Cullercoats Metro station, serves, Cullercoats]
  • A. Cullercoats chosen
    Cullercoats is a coastal village in North Tyneside, England, known for its sandy bay, historic fishing community, and picturesque harbour.
  • B. Fraserburgh
    Fraserburgh is a coastal town in Aberdeenshire, Scotland, known historically for its busy fishing port and maritime heritage.
  • C. Eyemouth
    Eyemouth is a small coastal fishing town in the Scottish Borders, known for its historic harbour and dramatic North Sea coastline.
  • D. Peterhead
    Peterhead is a coastal town in Aberdeenshire, northeast Scotland, known historically for its fishing industry and maritime heritage.
  • E. Pencaitland
    Pencaitland is a rural village in Scotland known for its historic parish church, surrounding farmland, and proximity to Edinburgh.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a5ef848190b6b9a11a3fbdb384 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7583c2548819096f8e1b8d1d34fcf completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:21 p.m.