Triple

T17938853
Position Surface form Disambiguated ID Type / Status
Subject Odia calendar E448535 entity
Predicate hasMonth P6433 FINISHED
Object Phalguna 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: Phalguna | Statement: [Odia calendar, hasMonth, Phalguna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phalguna
Context triple: [Odia calendar, hasMonth, Phalguna]
  • A. Phalguna chosen
    Phalguna is the twelfth month of the Hindu lunar calendar, typically falling in February–March and associated with several major festivals and religious observances.
  • B. Vaishakha
    Vaishakha is the second month of the traditional Hindu lunar calendar, typically falling in April–May and associated with various religious observances and festivals.
  • C. Uttar Falguni
    Uttar Falguni is a classic Bengali film best known for featuring an acclaimed dual-role performance by legendary actress Suchitra Sen.
  • D. Chaitra month
    Chaitra month is the first month of the Hindu lunar calendar, typically falling in March–April, and is associated with the onset of spring and numerous regional festivals.
  • E. Boishakh
    Boishakh is the first month of the traditional Bengali calendar, marking the beginning of the Bengali New Year and associated cultural festivities.
  • 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.