Triple

T4313375
Position Surface form Disambiguated ID Type / Status
Subject Documentaries of the World E94126 entity
Predicate festivalSectionType P44901 FINISHED
Object non-competitive program 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: non-competitive program | Statement: [Documentaries of the World, festivalSectionType, non-competitive program]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: festivalSectionType
Context triple: [Documentaries of the World, festivalSectionType, non-competitive program]
  • A. festivalSectionCoverage
    Indicates that a particular section or segment of a festival is being reported on, documented, or otherwise covered (e.g., by media or organizers).
  • B. associatedFilmFestivalSection chosen
    Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
  • C. mainFestival
    Indicates that an event is the primary or central festival associated with a particular context, place, or entity.
  • D. exampleFestival
    Indicates that an entity is an instance or example of a particular festival event or type of festival.
  • E. festivalSeason
    Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f319c08190bb40a9fc5933728d completed March 12, 2026, 11:49 p.m.
PD Predicate disambiguation batch_69b34f4a07b08190a06ada0d9cbb14fb completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:12 p.m.