Triple

T5084265
Position Surface form Disambiguated ID Type / Status
Subject Long Eaton E114597 entity
Predicate locatedNear P294 FINISHED
Object Beeston E149933 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: Beeston | Statement: [Long Eaton, locatedNear, Beeston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beeston
Context triple: [Long Eaton, locatedNear, Beeston]
  • A. Beeston chosen
    Beeston is a suburban town just southwest of Nottingham in England, known for its residential character, local amenities, and proximity to the University of Nottingham.
  • B. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • C. Bexley
    Bexley is a suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
  • D. Whittington
    Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
  • E. Whittington
    Whittington is a small village in Norfolk, England, known for its rural character and proximity to the River Wissey.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75192d188190a7631bce5faf7de3 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb13a8be08190a0f1fc3aec224dde completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:40 p.m.