Triple
T17939028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasanta |
E448539
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Grishma |
—
|
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: Grishma | Statement: [Vasanta, precedes, Grishma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grishma Context triple: [Vasanta, precedes, Grishma]
-
A.
Grishma
chosen
Grishma is the hot summer season in the Hindu lunisolar calendar, typically associated with intense heat and dry weather.
-
B.
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.
-
C.
Varsha
Varsha is the monsoon season in the Hindu lunisolar calendar, marked by heavy rains and agricultural renewal.
-
D.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
-
E.
Bhadrika
Bhadrika is a disciple mentioned in Buddhist tradition as one of the listeners present when the Buddha delivered his seminal Turning of the Wheel of Dharma discourse.
- 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.