Triple

T3850784
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom general election, 1970 E85289 entity
Predicate forOffice P3103 FINISHED
Object Member of Parliament 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: Member of Parliament | Statement: [United Kingdom general election, 1970, forOffice, Member of Parliament]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: forOffice
Context triple: [United Kingdom general election, 1970, forOffice, Member of Parliament]
  • A. office chosen
    Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
  • B. inOfficeFrom
    Indicates that an entity holds a particular office or position starting from a specified date or time.
  • C. otherOffice
    Indicates that one office is an alternative or additional office associated with the same organization, person, or entity as another office.
  • D. worksWithOffice
    Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
  • E. officeFormation
    Indicates the event or process by which an office or official position is created, established, or formally constituted.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcf67788190975105131baabc4b completed March 9, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.