Triple

T20156176
Position Surface form Disambiguated ID Type / Status
Subject Llwynypia E491571 entity
Predicate hasPostTown P2711 FINISHED
Object Tonypandy NE NERFINISHED

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: Tonypandy | Statement: [Llwynypia, hasPostTown, Tonypandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonypandy
Context triple: [Llwynypia, hasPostTown, Tonypandy]
  • A. Tonypandy chosen
    Tonypandy is a town in the Rhondda Valley of South Wales, historically known for its coal mining heritage and the 1910–1911 miners' strikes.
  • B. Tandragee
    Tandragee is a small town in County Armagh, Northern Ireland, known historically for its castle and association with the Tayto potato crisp factory.
  • C. Maffra
    Maffra is a small rural locality in the Snowy Monaro region of New South Wales, Australia.
  • D. Tarfside
    Tarfside is a small rural village in Glen Esk in the Angus region of Scotland, known for its scenic Highland landscape and outdoor recreation opportunities.
  • E. Ballywalter
    Ballywalter is a small coastal village in Northern Ireland known for its sandy beach and fishing heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e0a0488190a25d92aaf300be4a completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.