Triple

T17227638
Position Surface form Disambiguated ID Type / Status
Subject Oakfield, Cwmbran E418158 entity
Predicate partOf P40 FINISHED
Object Torfaen E54866 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: Torfaen | Statement: [Oakfield, Cwmbran, partOf, Torfaen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torfaen
Context triple: [Oakfield, Cwmbran, partOf, Torfaen]
  • A. Torfaen chosen
    Torfaen is a county borough and principal area in southeast Wales, known for its mix of post-industrial towns and scenic valleys along the Afon Llwyd river.
  • B. Giffnock
    Giffnock is a suburban town in East Renfrewshire, Scotland, known for its affluent residential character and proximity to Glasgow.
  • C. Cambuslang
    Cambuslang is a suburban town in Scotland situated near Glasgow, known historically for its coal mining and industrial heritage.
  • D. Lanark
    Lanark is a historic market town in South Lanarkshire, Scotland, known for its medieval origins and role as a former royal burgh.
  • E. Lanark
    Lanark is a small unincorporated community located in Raleigh County, West Virginia, United States.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42de239a08190936a1d635b0b1b87 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675eae08819093427b4dc1ffee5f completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.