Triple

T18274774
Position Surface form Disambiguated ID Type / Status
Subject Jerome K. Jerome E437705 entity
Predicate placeOfBirth P1 FINISHED
Object Walsall 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: Walsall | Statement: [Jerome K. Jerome, placeOfBirth, Walsall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walsall
Context triple: [Jerome K. Jerome, placeOfBirth, Walsall]
  • A. Walsall chosen
    Walsall is a large industrial town in England known historically for its leather trade and manufacturing, situated within the West Midlands region.
  • B. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • C. Solihull
    Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
  • D. West Bromwich
    West Bromwich is a large industrial town in the West Midlands of England, historically known for its manufacturing heritage and home to the football club West Bromwich Albion.
  • E. Wigan
    Wigan is a large town in North West England known historically for its coal mining and cotton industries and today for its rugby league and football clubs.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50050d6688190b909a1c24e1dd3c9 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.