Triple

T9302501
Position Surface form Disambiguated ID Type / Status
Subject Tommy Taylor E223798 entity
Predicate placeOfBirth P1 FINISHED
Object Barnsley, England E140156 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: Barnsley, England | Statement: [Tommy Taylor, placeOfBirth, Barnsley, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnsley, England
Context triple: [Tommy Taylor, placeOfBirth, Barnsley, England]
  • A. Barnsley chosen
    Barnsley is a large market town and former industrial centre in South Yorkshire, England, historically known for coal mining and glassmaking.
  • B. Selby, Yorkshire, England
    Selby, Yorkshire, England is a historic market town in North Yorkshire notable for its medieval abbey and royal connections.
  • C. Kent, England
    Kent, England is a historic county in southeastern England known for its coastal towns, rich agricultural land, and nickname "the Garden of England."
  • D. York, England
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • E. Birmingham, United Kingdom
    Birmingham, United Kingdom is a major city in England’s West Midlands, known for its industrial heritage, diverse culture, and status as the UK’s second-largest city.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d34c4c819095a213360747c3a6 completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b26ae3c881909e88f0253e73f0ea completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.