Triple

T4782833
Position Surface form Disambiguated ID Type / Status
Subject Dashavatara E106405 entity
Predicate member P10 FINISHED
Object Kalki E110824 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: Kalki | Statement: [Dashavatara, member, Kalki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalki
Context triple: [Dashavatara, member, Kalki]
  • A. Kalki chosen
    Kalki is the prophesied future incarnation of the Hindu god Vishnu who is foretold to appear at the end of the current age to restore righteousness and cosmic order.
  • B. Kameswara
    Kameswara was a king of the Kediri (Kadiri) kingdom in East Java, Indonesia, known from Javanese historical traditions as one of the early rulers in the succession that included the famed King Jayabaya.
  • C. Shankara
    Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
  • D. Shankara
    Shankara was an 8th-century Indian philosopher and theologian best known for consolidating the Advaita Vedanta school of Hindu thought, which teaches the non-dual unity of Atman and Brahman.
  • E. Kesava
    Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ad3a188190872e47e3a3bf504b completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d912f5c81909537b861dd0a4591 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.