Triple
T17938843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odia calendar |
E448535
|
entity |
| Predicate | hasMonth |
P6433
|
FINISHED |
| Object | Baisakha |
—
|
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: Baisakha | Statement: [Odia calendar, hasMonth, Baisakha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baisakha Context triple: [Odia calendar, hasMonth, Baisakha]
-
A.
Vaishakha
chosen
Vaishakha is the second month of the traditional Hindu lunar calendar, typically falling in April–May and associated with various religious observances and festivals.
-
B.
Boishakh
Boishakh is the first month of the traditional Bengali calendar, marking the beginning of the Bengali New Year and associated cultural festivities.
-
C.
Pausha
Pausha is a winter month in the traditional Hindu lunar calendar, typically corresponding to December–January in the Gregorian calendar.
-
D.
Phalguna
Phalguna is the twelfth month of the Hindu lunar calendar, typically falling in February–March and associated with several major festivals and religious observances.
-
E.
Pohela Boishakh
Pohela Boishakh is the Bengali New Year festival, celebrated with colorful cultural events, processions, and traditional foods across Bangladesh and the Indian state of West Bengal.
- 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.