Triple

T6047421
Position Surface form Disambiguated ID Type / Status
Subject County of Leicestershire E134701 entity
Predicate contains P35 FINISHED
Object Loughborough E217751 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: Loughborough | Statement: [County of Leicestershire, contains, Loughborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loughborough
Context triple: [County of Leicestershire, contains, Loughborough]
  • A. Loughborough chosen
    Loughborough is a large market and university town in Leicestershire, England, known for Loughborough University and its strong engineering and sports science reputation.
  • B. 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.
  • C. 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.
  • D. Coventry
    Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
  • E. Milton Keynes
    Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e70fd48190b4554e9a516a1c88 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1251a3bec81909a654976712f147d completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:09 p.m.