Triple

T4958206
Position Surface form Disambiguated ID Type / Status
Subject Cwmbran railway station E111338 entity
Predicate locatedIn 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: [Cwmbran railway station, locatedIn, Torfaen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torfaen
Context triple: [Cwmbran railway station, locatedIn, 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d834c0819087f3faafdc9b4228 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf410eb03c81909aca9aca27cc82c1 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 1:32 p.m.