Triple

T9577121
Position Surface form Disambiguated ID Type / Status
Subject Kanwar Yatra E231072 entity
Predicate takesPlaceDuring P3824 FINISHED
Object Sawan E655838 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: Sawan | Statement: [Kanwar Yatra, takesPlaceDuring, Sawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sawan
Context triple: [Kanwar Yatra, takesPlaceDuring, Sawan]
  • A. Ashadha chosen
    Ashadha is a month in the traditional Hindu lunar calendar, typically falling around June–July, associated with the onset of the monsoon season in the Indian subcontinent.
  • B. Bhadrapada
    Bhadrapada is a month in the Hindu lunar calendar, typically falling around August–September, associated with major festivals such as Ganesh Chaturthi.
  • C. Margazhi
    Margazhi is a winter month in the Tamil calendar, traditionally associated with religious observances, devotional music, and early-morning temple rituals.
  • D. Uttar Falguni
    Uttar Falguni is a classic Bengali film best known for featuring an acclaimed dual-role performance by legendary actress Suchitra Sen.
  • E. Vesākha
    Vesākha is the Buddhist festival commemorating the birth, enlightenment, and death (parinirvāṇa) of Gautama Buddha, observed on the full moon day of the Vesak month in many Asian countries.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16155b3288190ac135c3a1e58cc7e completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.