Triple

T3172337
Position Surface form Disambiguated ID Type / Status
Subject North Wales Coast Line E66381 entity
Predicate regionServed P82 FINISHED
Object Denbighshire E53434 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: Denbighshire | Statement: [North Wales Coast Line, regionServed, Denbighshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denbighshire
Context triple: [North Wales Coast Line, regionServed, Denbighshire]
  • A. Denbighshire chosen
    Denbighshire is a historic and principal county in north-east Wales, known for its rural landscapes, market towns, and sections of the Clwydian Range and Dee Valley Area of Outstanding Natural Beauty.
  • B. Merionethshire
    Merionethshire is a historic county in northwest Wales known for its rugged mountainous landscapes and rural character.
  • C. Montgomeryshire
    Montgomeryshire is a historic county and former parliamentary constituency in mid-Wales, known for its rural landscape and market towns such as Newtown and Welshpool.
  • D. Radnorshire
    Radnorshire is a historic county in mid-Wales known for its rural landscapes, small market towns, and incorporation into the modern county of Powys.
  • E. Powys
    Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66da23c81908f063b44b48b1e53 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfb12cd0e4819082403092672f9fe8 completed March 22, 2026, 9:06 a.m.
Created at: March 8, 2026, 3:06 p.m.