Triple

T22071842
Position Surface form Disambiguated ID Type / Status
Subject Yadnya Kasada ceremony E545426 entity
Predicate month P1167 FINISHED
Object Kasada 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: Kasada | Statement: [Yadnya Kasada ceremony, month, Kasada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasada
Context triple: [Yadnya Kasada ceremony, month, Kasada]
  • A. Kasada chosen
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • B. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • C. Kashira
    Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
  • D. Kuratau
    Kuratau is a small lakeside settlement on the southwestern shore of Lake Taupō in New Zealand’s central North Island, known for its holiday homes, fishing, and outdoor recreation.
  • E. Kawasoti
    Kawasoti is a town in central Nepal that serves as an administrative and commercial hub in the Gandaki Province region.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12888dcc08190b18d3d44d09ab943 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.