Triple

T2156873
Position Surface form Disambiguated ID Type / Status
Subject Sir Feirionnydd E47908 entity
Predicate contains P35 FINISHED
Object Ffestiniog E50258 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: Ffestiniog | Statement: [Sir Feirionnydd, contains, Ffestiniog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ffestiniog
Context triple: [Sir Feirionnydd, contains, Ffestiniog]
  • A. Ffestiniog chosen
    Ffestiniog is a historic town in north Wales, known for its slate quarrying heritage and proximity to the scenic landscapes of Snowdonia.
  • B. Dyffryn
    Dyffryn is an electoral ward and community area within the county borough of Neath Port Talbot in South Wales.
  • C. Dyffryn Ardudwy
    Dyffryn Ardudwy is a coastal village in Gwynedd, Wales, known for its prehistoric burial chambers and location between the Rhinogydd mountains and Cardigan Bay.
  • D. Dwyfor Meirionnydd
    Dwyfor Meirionnydd is a largely rural parliamentary constituency in northwest Wales, covering parts of Gwynedd and known for its strong Welsh-speaking communities and scenic landscapes.
  • E. Meirionnydd
    Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe67d6888190b8d3c07527c8f80e completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71af0fa081909dd4b2a7452623da completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:44 p.m.