Triple

T10568469
Position Surface form Disambiguated ID Type / Status
Subject Girton E249413 entity
Predicate hasNearbySettlement P4647 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, hasNearbySettlement, Oakington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakington
Context triple: [Girton, hasNearbySettlement, 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. Parlington
    Parlington is a historic rural area and former estate in West Yorkshire, England, known for its parkland, architectural remnants, and association with the Gascoigne family.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69de843dfe708190a14dc54be56b112d completed April 14, 2026, 6:15 p.m.
Created at: April 6, 2026, 12:37 p.m.