Triple

T3906646
Position Surface form Disambiguated ID Type / Status
Subject South Wales E87217 entity
Predicate contains P35 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: [South Wales, contains, Caerphilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caerphilly
Context triple: [South Wales, contains, 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. Nant Gwynant
    Nant Gwynant is a scenic valley in Snowdonia, Wales, known for its lakes, mountain views, and popular hiking routes near Snowdon.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cace2b88190981e3516123a417d completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.