Triple
T17939060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grishma |
E448540
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Grishma Ritu |
—
|
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 Ritu | Statement: [Grishma, hasAlternativeName, Grishma Ritu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grishma Ritu Context triple: [Grishma, hasAlternativeName, Grishma Ritu]
-
A.
Vasanta Ritu
Vasanta Ritu is the spring season in the traditional Indian calendar, associated with blooming flowers, mild weather, and various cultural festivals.
-
B.
Hè
Hè is a romanized variant of the common Chinese surname typically transliterated as He.
-
C.
Grishma
chosen
Grishma is the hot summer season in the Hindu lunisolar calendar, typically associated with intense heat and dry weather.
-
D.
Sawan
Sawan is a holy month in the Hindu calendar, devoted especially to the worship of Lord Shiva and marked by fasting, pilgrimages, and religious festivals.
-
E.
Khareef monsoon
The Khareef monsoon is a seasonal weather pattern in the Arabian Sea region that brings cool temperatures, fog, and lush greenery to parts of southern Oman and nearby coasts during the summer months.
- 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.