Triple

T2038971
Position Surface form Disambiguated ID Type / Status
Subject Iranian Azerbaijan E44697 entity
Predicate traditionalMusic P526 FINISHED
Object Mugham E145281 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: Mugham | Statement: [Iranian Azerbaijan, traditionalMusic, Mugham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mugham
Context triple: [Iranian Azerbaijan, traditionalMusic, Mugham]
  • A. Mugham music chosen
    Mugham music is a traditional Azerbaijani modal art form that combines improvisational singing and instrumental performance, often conveying deep emotional and spiritual themes.
  • B. Mevleviyya
    Mevleviyya is a prominent Sufi order best known for its whirling dervish ceremonies and spiritual practices inspired by the teachings of the Persian poet and mystic Rumi.
  • C. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • D. Tuba-Zangariyye
    Tuba-Zangariyye is a Bedouin town in northern Israel known for its predominantly Arab population and location in the Galilee region.
  • E. Shaabi
    Shaabi is a popular Egyptian urban folk music genre known for its colloquial lyrics, danceable rhythms, and association with working-class culture.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb951870481909dbdd8fc8b0c02fe completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff63de081908795a95c998dd9ac completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.