Triple

T198610
Position Surface form Disambiguated ID Type / Status
Subject Justin Trudeau E4051 entity
Predicate officeStartPrimeMinisterOfCanada P370 FINISHED
Object 2015-11-04 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: 2015-11-04 | Statement: [Justin Trudeau, officeStartPrimeMinisterOfCanada, 2015-11-04]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeStartPrimeMinisterOfCanada
Context triple: [Justin Trudeau, officeStartPrimeMinisterOfCanada, 2015-11-04]
  • A. primeMinisterOf
    Indicates that a person holds the office of prime minister as the head of government of a specified country or political entity.
  • B. firstPrimeMinister
    Indicates that one entity is the first person to hold the office of prime minister of the other entity.
  • C. notablePrimeMinister
    Indicates that the subject served as a prime minister and is recognized as particularly important, influential, or distinguished in that role.
  • D. primeMinisterTermStart chosen
    Indicates the date on which an individual officially begins serving as prime minister.
  • E. associatedPrimeMinisterLikeFigure
    Indicates a relationship where an entity is linked to another entity that functions in a role similar to that of a prime minister, without necessarily holding the formal title.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69a25b47481c8190add47c641c977bb9 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:44 a.m.