Triple

T6564550
Position Surface form Disambiguated ID Type / Status
Subject Apma E153868 entity
Predicate neighboringLanguage P16383 FINISHED
Object Raga E153879 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: Raga | Statement: [Apma, neighboringLanguage, Raga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raga
Context triple: [Apma, neighboringLanguage, Raga]
  • A. Raga chosen
    Raga is an Oceanic language spoken on Pentecost Island in Vanuatu, known for its rich oral traditions and complex verb morphology.
  • B. Raga Bhimpalasi
    Raga Bhimpalasi is a popular afternoon raga in Hindustani classical music, known for its soulful, devotional mood and use of the Kafi thaat scale.
  • C. Raga Yaman
    Raga Yaman is a prominent and foundational evening raga in Hindustani classical music, known for its serene, devotional mood and use of the tivra (sharp) Ma.
  • D. Raga Bhairav
    Raga Bhairav is a fundamental and ancient morning raga in Hindustani classical music, known for its serious, meditative mood and characteristic use of komal (flat) Re and Dha.
  • E. Borgeet
    Borgeet are devotional songs from Assam, India, composed primarily by the saint-scholar Srimanta Sankardev and central to Assamese Vaishnavite musical and spiritual traditions.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7867e688190aad8cc2b396a64eb completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:52 p.m.