Triple

T3084688
Position Surface form Disambiguated ID Type / Status
Subject Sansad TV E64342 entity
Predicate hasChannel P8080 FINISHED
Object Sansad TV SD E64342 NE 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: Sansad TV SD | Statement: [Sansad TV, hasChannel, Sansad TV SD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sansad TV SD
Context triple: [Sansad TV, hasChannel, Sansad TV SD]
  • A. Sansad TV chosen
    Sansad TV is an Indian parliamentary television channel that provides live coverage and analysis of proceedings from the country's legislative bodies along with related public affairs programming.
  • B. Shamshad TV
    Shamshad TV is a prominent Pashto-language television channel known for broadcasting news, entertainment, and cultural programming to Pashto-speaking audiences, particularly in Afghanistan and Pakistan.
  • C. Doordarshan
    Doordarshan is India’s public service broadcaster and one of the country’s oldest and most widely accessible television networks.
  • D. Star TV
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • E. Start TV
    Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203607df081909499458d6608f0e6 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.