Triple

T12233218
Position Surface form Disambiguated ID Type / Status
Subject Marquesses of Buckingham E291525 entity
Predicate politicalAffiliation P352 FINISHED
Object Tory E16790 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: Tory | Statement: [Marquesses of Buckingham, politicalAffiliation, Tory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tory
Context triple: [Marquesses of Buckingham, politicalAffiliation, Tory]
  • A. Tory chosen
    Tory refers to a historical British political faction and later party associated with conservatism, monarchy, and traditional institutions, which evolved into the modern Conservative Party.
  • B. Turnbull
    Turnbull is a Scottish-origin surname borne by various notable figures, including Australian politician and former prime minister Malcolm Turnbull.
  • C. Theresa
    Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
  • D. The Hayes
    The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
  • E. Lubenham
    Lubenham is a small rural village in Leicestershire, England, situated just west of the market town of Market Harborough.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.