Triple

T17939064
Position Surface form Disambiguated ID Type / Status
Subject Grishma E448540 entity
Predicate precedes P97 FINISHED
Object Varsha 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: Varsha | Statement: [Grishma, precedes, Varsha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varsha
Context triple: [Grishma, precedes, Varsha]
  • A. Varsha chosen
    Varsha is the monsoon season in the Hindu lunisolar calendar, marked by heavy rains and agricultural renewal.
  • B. Grishma
    Grishma is the hot summer season in the Hindu lunisolar calendar, typically associated with intense heat and dry weather.
  • C. Basanti
    Basanti is a town and community development block in the South 24 Parganas district of West Bengal, India, known for its location in the Sundarbans region.
  • D. Aandhi
    Aandhi is a 1975 Hindi political drama film, loosely inspired by the life of Indian Prime Minister Indira Gandhi, renowned for Suchitra Sen’s powerful lead performance.
  • E. Dhurwa
    Dhurwa is an indigenous tribal community of central India, primarily found in Chhattisgarh and neighboring regions, known for its distinct Dravidian language and cultural traditions.
  • 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_69e4ad9455fc81908bf595f9ed42c624 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.