Triple

T2599538
Position Surface form Disambiguated ID Type / Status
Subject Gwynedd E58308 entity
Predicate contains P35 FINISHED
Object Criccieth E241846 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: Criccieth | Statement: [Gwynedd, contains, Criccieth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Criccieth
Context triple: [Gwynedd, contains, Criccieth]
  • A. Criccieth chosen
    Criccieth is a seaside town on the Llŷn Peninsula in Gwynedd, Wales, known for its medieval castle overlooking Cardigan Bay.
  • B. Harlech
    Harlech is a historic coastal town in northwest Wales, best known for its dramatic medieval castle overlooking Cardigan Bay.
  • C. Bargoed
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • D. Kidwelly
    Kidwelly is a historic town in southwest Wales, best known for its well-preserved medieval castle overlooking the River Gwendraeth.
  • E. Codnor
    Codnor is a village in the Amber Valley district of Derbyshire, England, known historically for coal mining and its nearby medieval castle remains.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd457564c819080d8c8818c02545a completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf429ca8819091ed4737653f6023 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:49 p.m.