Triple

T9810709
Position Surface form Disambiguated ID Type / Status
Subject 2019 United Kingdom general election E238262 entity
Predicate resultedInGovernment P81395 FINISHED
Object Conservative majority government LITERAL 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: Conservative majority government | Statement: [2019 United Kingdom general election, resultedInGovernment, Conservative majority government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultedInGovernment
Context triple: [2019 United Kingdom general election, resultedInGovernment, Conservative majority government]
  • A. succeededByGovernment
    Indicates that one government is directly followed and replaced in power or authority by another government.
  • B. governmentOutcome
    Indicates the result, consequence, or effect produced by a government’s decisions, actions, or policies.
  • C. workedUnderGovernmentOf
    Indicates that an entity was employed by, served within, or operated under the authority of a specific government or its administrative bodies.
  • D. formedGovernmentAfter chosen
    Indicates that one entity established or assumed control of a government following another specified event, period, or governing body.
  • E. implementedGovernmentType
    Indicates the specific form of government that has been put into practice or adopted by an entity.
  • F. None of above.

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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2214a7c8190b516acf64e2b85db completed April 2, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69cd03dd2da881909052fbf29736a773 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:30 p.m.