Triple

T19273876
Position Surface form Disambiguated ID Type / Status
Subject National Film Award for Best Feature Film in Hindi E481995 entity
Predicate hasLanguageCriterion P34502 FINISHED
Object Hindi 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: Hindi | Statement: [National Film Award for Best Feature Film in Hindi, hasLanguageCriterion, Hindi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageCriterion
Context triple: [National Film Award for Best Feature Film in Hindi, hasLanguageCriterion, Hindi]
  • A. languageCriterion chosen
    Indicates that a relationship or selection is based on whether something meets a specified language-related requirement or condition.
  • B. hasLanguageStatus
    Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
  • C. hasLanguageOn
    Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
  • D. hasLanguageRestriction
    Indicates that an entity is subject to limitations or specific conditions regarding the languages it can use, support, or be associated with.
  • E. eligibleLanguage
    Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69e4dd07a7208190afcd51ba1dc87c33 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:29 p.m.