Triple

T6918518
Position Surface form Disambiguated ID Type / Status
Subject Richmondshire E160122 entity
Predicate borderedBy P224 FINISHED
Object Hambleton district E133344 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: Hambleton district | Statement: [Richmondshire, borderedBy, Hambleton district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hambleton district
Context triple: [Richmondshire, borderedBy, Hambleton district]
  • A. Langwasser district
    Langwasser district is a residential and commercial borough in the southeast of Nuremberg, Germany, developed largely in the post-World War II era.
  • B. Hambleton chosen
    Hambleton is a largely rural district in North Yorkshire, England, known for its market towns and agricultural landscape.
  • C. Hambleton District Council
    Hambleton District Council was the local government authority responsible for providing municipal services and administration in the Hambleton district of North Yorkshire, England.
  • D. Gunton district
    Gunton district is a residential and coastal area forming part of the town of Lowestoft in Suffolk, England.
  • E. Rother District
    Rother District is a local government district in East Sussex, England, known for its historic towns such as Bexhill-on-Sea, Battle, and Rye, and its mix of coastal and rural landscapes.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7512f7fac81908d0891f4de301535 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.