Triple

T16278885
Position Surface form Disambiguated ID Type / Status
Subject Bedwas E395210 entity
Predicate near P350 FINISHED
Object Caerphilly E124318 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: Caerphilly | Statement: [Bedwas, near, Caerphilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caerphilly
Context triple: [Bedwas, near, Caerphilly]
  • A. Caerphilly chosen
    Caerphilly is a town in South Wales known for its historic medieval castle and as the namesake of Caerphilly cheese.
  • B. Caerphilly Castle
    Caerphilly Castle is a large 13th-century medieval fortress in South Wales, renowned for its extensive water defenses and status as one of the biggest castles in Britain.
  • C. Bargoed
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • D. Tal-y-Cafn
    Tal-y-Cafn is a small village in Conwy County Borough, Wales, situated in the Conwy Valley and known for its rural setting and former railway station on the Conwy Valley Line.
  • E. Castell Coch
    Castell Coch is a 19th-century Gothic Revival castle in South Wales, famed for its fairy-tale appearance and richly decorated interiors.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24610908c8190921e507dcb4d8250 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c48e5c8190a387a4158362417a completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.