Triple

T5391252
Position Surface form Disambiguated ID Type / Status
Subject Markfield E120333 entity
Predicate nearbySettlement P350 FINISHED
Object Coalville E305799 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: Coalville | Statement: [Markfield, nearbySettlement, Coalville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coalville
Context triple: [Markfield, nearbySettlement, Coalville]
  • A. Coalville chosen
    Coalville is an industrial town in Leicestershire, England, historically known for its coal mining and manufacturing heritage.
  • B. Wolverley
    Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
  • C. Wrottesley
    Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
  • D. Thamesville
    Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
  • E. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd87185f788190bd5244a1f7dbb5c8 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3366a0588190b1e5e48be86471fe completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.