Triple

T13771944
Position Surface form Disambiguated ID Type / Status
Subject Wensleydale E330901 entity
Predicate contains P35 FINISHED
Object Middleham E628451 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: Middleham | Statement: [Wensleydale, contains, Middleham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middleham
Context triple: [Wensleydale, contains, Middleham]
  • A. Middleham chosen
    Middleham is a historic market town in North Yorkshire, England, best known for its medieval castle and long-standing association with horse racing and training.
  • B. Middleham Castle
    Middleham Castle is a medieval fortress in North Yorkshire, England, best known as a stronghold of the Neville family and the childhood home of King Richard III.
  • C. Middleham, Yorkshire, England
    Middleham, Yorkshire, England is a historic market town in North Yorkshire best known for its medieval castle and strong connections to the Wars of the Roses and the House of York.
  • D. Kenilworth
    Kenilworth is a historic market town in central England best known for the extensive ruins of Kenilworth Castle and its connections to Tudor and medieval history.
  • E. Kenilworth
    Kenilworth is a residential suburb in Cape Town, South Africa, known for its tree-lined streets, mixed-use character, and proximity to major schools and transport routes.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0235aea881909ab4c721db081b00 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86907cc8190a6a6b475d08f0dc7 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.