Triple
T17938907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nepali Bikram Samvat |
E448536
|
entity |
| Predicate | eleventhMonth |
P49565
|
FINISHED |
| Object | Falgun |
—
|
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: Falgun | Statement: [Nepali Bikram Samvat, eleventhMonth, Falgun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falgun Context triple: [Nepali Bikram Samvat, eleventhMonth, Falgun]
-
A.
Uttar Falguni
Uttar Falguni is a classic Bengali film best known for featuring an acclaimed dual-role performance by legendary actress Suchitra Sen.
-
B.
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.
-
C.
Margazhi
Margazhi is a winter month in the Tamil calendar, traditionally associated with religious observances, devotional music, and early-morning temple rituals.
-
D.
Pausha
Pausha is a winter month in the traditional Hindu lunar calendar, typically corresponding to December–January in the Gregorian calendar.
-
E.
Phagun
Phagun is a late-winter month in the traditional Assamese calendar, roughly corresponding to February–March in the Gregorian calendar.
- 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.