Triple

T4520194
Position Surface form Disambiguated ID Type / Status
Subject Narada E103246 entity
Predicate associatedWith P37 FINISHED
Object veena E336763 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: veena | Statement: [Narada, associatedWith, veena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: veena
Context triple: [Narada, associatedWith, veena]
  • A. veena chosen
    The veena is a traditional South Indian plucked string instrument, revered in classical Carnatic music and often associated with the Hindu goddess Saraswati.
  • B. Vioulou
    Vioulou is a river in southern France that serves as one of the main tributaries feeding the artificial Lac de Pareloup reservoir on the Lévézou plateau.
  • C. Dhol
    The Dhol is a traditional double-headed drum widely used across India, especially in Assam, to provide powerful rhythmic accompaniment in folk and festive music.
  • D. Raga
    Raga is an Oceanic language spoken on Pentecost Island in Vanuatu, known for its rich oral traditions and complex verb morphology.
  • E. đàn bầu
    Đàn bầu is a traditional Vietnamese monochord zither known for its haunting, expressive sound produced by bending pitch with a flexible rod.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5747e90c81908fa112ecace699a9 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda432bfd48190a0eba7cd37fb1953 completed March 20, 2026, 7:46 p.m.
Created at: March 20, 2026, 1:02 p.m.