Triple

T22111264
Position Surface form Disambiguated ID Type / Status
Subject DD India E546423 entity
Predicate parentOrganization P254 FINISHED
Object Prasar Bharati 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: Prasar Bharati | Statement: [DD India, parentOrganization, Prasar Bharati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prasar Bharati
Context triple: [DD India, parentOrganization, Prasar Bharati]
  • A. Prasar Bharati chosen
    Prasar Bharati is India’s autonomous public service broadcasting corporation, overseeing major national radio and television networks.
  • B. Doordarshan
    Doordarshan is India’s public service broadcaster and one of the country’s oldest and most widely accessible television networks.
  • C. New Delhi Television Limited
    New Delhi Television Limited (NDTV) is a prominent Indian news media company known for its influential television news channels and digital journalism platforms.
  • D. All India Radio
    All India Radio is India’s national public radio broadcaster, known for its extensive news, cultural, and music programming across the country.
  • E. Ministry of Information and Broadcasting (India)
    The Ministry of Information and Broadcasting (India) is the central government ministry responsible for regulating and overseeing the country’s information, broadcasting, film, and media sectors.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.