Triple

T15277232
Position Surface form Disambiguated ID Type / Status
Subject Stretford and Urmston E365173 entity
Predicate contains P35 FINISHED
Object Flixton E297644 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: Flixton | Statement: [Stretford and Urmston, contains, Flixton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flixton
Context triple: [Stretford and Urmston, contains, Flixton]
  • A. Flixton
    Flixton is a small village and civil parish in Suffolk, England, known for its rural character and historic setting.
  • B. Flixton chosen
    Flixton is a suburban area in the Metropolitan Borough of Trafford, Greater Manchester, England, known primarily as a residential community.
  • C. Euxton
    Euxton is a village and civil parish in Lancashire, England, situated near the town of Leyland.
  • D. Fletton
    Fletton is a suburban area of Peterborough in Cambridgeshire, England, historically known for its brickworks and residential development.
  • E. Fritchley
    Fritchley is a small village in Derbyshire, England, known for its rural character and proximity to the larger village of Crich.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00953bc848190b83919f39d5ee37b completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef734f488190951d029183d456f5 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.