Triple

T6476684
Position Surface form Disambiguated ID Type / Status
Subject Thomas Wolsey E146089 entity
Predicate deathPlace P21 FINISHED
Object Leicester E47527 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: Leicester | Statement: [Thomas Wolsey, deathPlace, Leicester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leicester
Context triple: [Thomas Wolsey, deathPlace, Leicester]
  • A. Leicester chosen
    Leicester is a historic and culturally diverse city in the East Midlands of England, known for its Roman origins, vibrant multicultural community, and the rediscovery and reburial of King Richard III.
  • B. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • C. Coventry
    Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
  • D. Nottingham
    Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
  • E. Loughborough
    Loughborough is a large market and university town in Leicestershire, England, known for Loughborough University and its strong engineering and sports science reputation.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4ba9588190a965b9e7feb7e598 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fd4fd408190ac7505e5b562cd73 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:51 p.m.