Triple

T22497259
Position Surface form Disambiguated ID Type / Status
Subject Belton E556173 entity
Predicate civilParishOf P9019 FINISHED
Object Belton parish NE NERFINISHED

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: Belton parish | Statement: [Belton, civilParishOf, Belton parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belton parish
Context triple: [Belton, civilParishOf, Belton parish]
  • A. Belton
    Belton is a small village and civil parish in the North West Leicestershire district of Leicestershire, England.
  • B. Belton
    Belton is a village and civil parish on the Isle of Axholme in North Lincolnshire, England.
  • C. Belton
    Belton is a village and civil parish in the South Kesteven district of Lincolnshire, England, known for the historic Belton House and its surrounding estate.
  • D. Belton
    Belton is a small city in Anderson County, South Carolina, known for its historic downtown and annual Standpipe Festival.
  • E. Belmesthorpe
    Belmesthorpe is a small village in Rutland, England, known for its rural character and historic stone buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb31b8081909553fa860a07e746 completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.