Triple

T21195496
Position Surface form Disambiguated ID Type / Status
Subject Balochi cinema E522313 entity
Predicate relatedTo P37 FINISHED
Object Urdu cinema 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: Urdu cinema | Statement: [Balochi cinema, relatedTo, Urdu cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urdu cinema
Context triple: [Balochi cinema, relatedTo, Urdu cinema]
  • A. Pakistani cinema chosen
    Pakistani cinema is the film industry of Pakistan, encompassing movies produced in various regional languages and known for its evolving storytelling, music, and cultural influence across South Asia.
  • B. Sindhi cinema
    Sindhi cinema is the film industry that produces movies in the Sindhi language, reflecting the culture and stories of Sindhi-speaking communities, primarily in Pakistan and India.
  • C. Punjabi cinema
    Punjabi cinema is the film industry that produces motion pictures in the Punjabi language, primarily based in the Punjab regions of India and Pakistan.
  • D. Balochi cinema
    Balochi cinema is the regional film industry that produces movies in the Balochi language, reflecting the culture and stories of the Baloch people within Pakistan and neighboring regions.
  • E. Pashto cinema
    Pashto cinema is the film industry producing movies in the Pashto language, primarily based in Pakistan’s Khyber Pakhtunkhwa region and catering to Pashto-speaking audiences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333aa0fc81909b17eb6a26f389ec completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.