Triple

T4925954
Position Surface form Disambiguated ID Type / Status
Subject CF postcode area E110575 entity
Predicate coversArea P175 FINISHED
Object Bargoed E188200 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: Bargoed | Statement: [CF postcode area, coversArea, Bargoed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bargoed
Context triple: [CF postcode area, coversArea, Bargoed]
  • A. Bargoed chosen
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • B. Kidwelly
    Kidwelly is a historic town in southwest Wales, best known for its well-preserved medieval castle overlooking the River Gwendraeth.
  • C. Builth Wells
    Builth Wells is a small market town in Powys, mid Wales, known for its rural setting and proximity to the Royal Welsh Showground.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7033c430819088e62f14979aa83c completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10b0ec0c8190bcd4503dd09667c7 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:30 p.m.