Triple

T25214983
Position Surface form Disambiguated ID Type / Status
Subject Water (2005 film) E631803 entity
Predicate representsCountryInAward P169208 FINISHED
Object Canada NE NERFINISHED

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: Canada | Statement: [Water (2005 film), representsCountryInAward, Canada]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsCountryInAward
Context triple: [Water (2005 film), representsCountryInAward, Canada]
  • A. nationalityRepresented
    Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
  • B. countryRepresented
    Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
  • C. representsCountryInLeague
    Indicates that an entity serves as the official representative of a specific country within a particular league or competition.
  • D. countryRepresenting
    Indicates that one entity serves as the official representative or acting country on behalf of another entity in a given context.
  • E. hasCountryRepresentedByWinners
    Indicates that a given country is represented by one or more winners in a particular context, such as a competition or award.
  • F. None of above. chosen

Provenance (4 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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f67d691a948190afa7fb19ae7d4ac5 completed May 2, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
PDg Predicate description generation batch_69f67c9ec1708190b26ccf402ed7b106 completed May 2, 2026, 10:37 p.m.
Created at: April 21, 2026, 12:58 p.m.