Triple

T2823616
Position Surface form Disambiguated ID Type / Status
Subject Torfaen E54866 entity
Predicate borderedBy P224 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: [Torfaen, borderedBy, Caerphilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caerphilly
Context triple: [Torfaen, borderedBy, 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. Nant Gwynant
    Nant Gwynant is a scenic valley in Snowdonia, Wales, known for its lakes, mountain views, and popular hiking routes near Snowdon.
  • E. Penrhyn Castle
    Penrhyn Castle is a 19th-century neo-Norman country house in North Wales, renowned for its grand architecture, extensive art collection, and role in the region’s slate industry history.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde71fdc08190b18660261fe24adf completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afcead12588190bfbb2c9e93b05e0d completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.