Triple

T9665000
Position Surface form Disambiguated ID Type / Status
Subject Rossett E233679 entity
Predicate historicalCounty P1069 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: [Rossett, historicalCounty, Denbighshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denbighshire
Context triple: [Rossett, historicalCounty, 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. Denbigh
    Denbigh is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
  • C. Merionethshire
    Merionethshire is a historic county in northwest Wales known for its rugged mountainous landscapes and rural character.
  • D. 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.
  • E. 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.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0e1ef481909c50a4ba5fd94583 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6f69ad0448190a2f472555384f0be completed April 9, 2026, 12:45 a.m.
Created at: March 30, 2026, 8:14 p.m.