Triple

T16614675
Position Surface form Disambiguated ID Type / Status
Subject Pontypool deanery E403665 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: [Pontypool deanery, locatedIn, Torfaen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torfaen
Context triple: [Pontypool deanery, 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3609935a88190baa56f3a42b2ecd1 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.