Triple

T14613671
Position Surface form Disambiguated ID Type / Status
Subject Cambridgeshire Fens E343023 entity
Predicate contains P35 FINISHED
Object Whittlesey E50022 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: Whittlesey | Statement: [Cambridgeshire Fens, contains, Whittlesey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whittlesey
Context triple: [Cambridgeshire Fens, contains, Whittlesey]
  • A. Whittlesey chosen
    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.
  • B. Parwich
    Parwich is a small rural village in the Derbyshire Peak District of England, noted for its traditional stone buildings and scenic countryside setting.
  • C. Biggleswade
    Biggleswade is a market town in eastern England situated on the River Ivel, known historically for agriculture and as a local commercial center.
  • D. Elmswell
    Elmswell is a village and civil parish in the county of Suffolk in eastern England.
  • E. Orsett
    Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.