Triple

T11671115
Position Surface form Disambiguated ID Type / Status
Subject Glympton Park E277379 entity
Predicate associatedWith P37 FINISHED
Object Glympton village E57959 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: Glympton village | Statement: [Glympton Park, associatedWith, Glympton village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glympton village
Context triple: [Glympton Park, associatedWith, Glympton village]
  • A. Glympton
    Glympton is a small rural village in Oxfordshire, England, known for its historic manor and traditional English countryside setting.
  • B. village of Glympton chosen
    The village of Glympton is a small rural settlement in Oxfordshire, England, known for its historic estate and picturesque setting in the Cotswolds countryside.
  • C. Wrea Green
    Wrea Green is a picturesque village in Lancashire, England, known for its traditional village green, duck pond, and historic rural character.
  • D. Yarnton
    Yarnton is a rural village in Oxfordshire, England, known for its historic church, manor house, and proximity to the city of Oxford.
  • E. Culcheth
    Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a44264c08190ba1a4a5bcdc9367b completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82e252fc819082b5c8a33fcf861a completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:39 p.m.