Triple

T16887526
Position Surface form Disambiguated ID Type / Status
Subject Asianet E421576 entity
Predicate network P2637 FINISHED
Object Asianet Network E421576 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: Asianet Network | Statement: [Asianet, network, Asianet Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asianet Network
Context triple: [Asianet, network, Asianet Network]
  • A. Asia Web Direct
    Asia Web Direct is an online travel booking brand focused on accommodation and travel services across Asian destinations.
  • B. Asianet chosen
    Asianet is a leading Malayalam-language television channel and entertainment network widely watched in the Indian state of Kerala and among the Malayali diaspora.
  • C. Asian Center
    The Asian Center is a graduate and research institute of the University of the Philippines Diliman specializing in Asian studies, regional affairs, and cultural and policy research on Asia.
  • D. Apac District
    Apac District is an administrative district in northern Uganda, known for its predominantly rural communities and agriculture-based economy.
  • E. Asinia
    Asinia was a Roman voting tribe (tribus) that formed part of the administrative and electoral organization of the Roman citizen body.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2befaa88190ba83dc17aa66b541 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.