Triple

T6746808
Position Surface form Disambiguated ID Type / Status
Subject Girton, Cambridgeshire E154237 entity
Predicate nearbySettlement P350 FINISHED
Object Oakington E203268 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: Oakington | Statement: [Girton, Cambridgeshire, nearbySettlement, Oakington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakington
Context triple: [Girton, Cambridgeshire, nearbySettlement, Oakington]
  • A. Oakington chosen
    Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
  • B. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • C. Burnt Oak
    Burnt Oak is a suburban district in northwest London known for its diverse community, local shopping streets, and residential character.
  • D. Elmswell
    Elmswell is a village and civil parish in the county of Suffolk in eastern England.
  • E. Hawkesbury Upton
    Hawkesbury Upton is a small rural village in South Gloucestershire, England, known for its traditional Cotswold stone buildings and annual literature festival.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b8a0f0819086b802983e8ffcb6 completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b15ded88190a36fb86093ba5a3c completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.