Triple
T17939013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasanta |
E448539
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Vasant |
—
|
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: Vasant | Statement: [Vasanta, hasTransliteration, Vasant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vasant Context triple: [Vasanta, hasTransliteration, Vasant]
-
A.
Vasanta
chosen
Vasanta is the spring season in the Hindu lunisolar calendar, associated with renewal, blossoming nature, and numerous traditional festivals.
-
B.
Varsha
Varsha is the monsoon season in the Hindu lunisolar calendar, marked by heavy rains and agricultural renewal.
-
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.
Grishma
Grishma is the hot summer season in the Hindu lunisolar calendar, typically associated with intense heat and dry weather.
-
E.
Vasanth
Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
- 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.