Triple

T17937239
Position Surface form Disambiguated ID Type / Status
Subject Kamsa E448497 entity
Predicate associatedWith P37 FINISHED
Object Bakāsura NE NERFINISHED

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: Bakāsura | Statement: [Kamsa, associatedWith, Bakāsura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakāsura
Context triple: [Kamsa, associatedWith, Bakāsura]
  • A. Bakasura chosen
    Bakasura is a fearsome demon from Hindu mythology, known for his immense strength, cannibalistic nature, and defeat at the hands of the Pandava hero Bhima in the Mahabharata.
  • B. Mahishmati
    Mahishmati is a grand, fictional ancient Indian kingdom known as the central setting of the epic action film series "Baahubali."
  • C. Narakasura
    Narakasura is a powerful demon king in Hindu mythology, best known for his tyranny, abduction of women, and eventual slaying by Krishna and Satyabhama, commemorated during the festival of Diwali.
  • D. Garuga
    Garuga is a small genus of tropical trees in the frankincense and myrrh family Burseraceae, known for its resinous bark and occurrence in Asian and Pacific regions.
  • E. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad937f0881909d22ac8c2be9e35e completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.