Triple
T19595212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindu mythology |
E470331
|
entity |
| Predicate | hasCosmology |
P41142
|
FINISHED |
| Object | Vaikuntha |
—
|
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: Vaikuntha | Statement: [Hindu mythology, hasCosmology, Vaikuntha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaikuntha Context triple: [Hindu mythology, hasCosmology, Vaikuntha]
-
A.
Vaikuntha
chosen
Vaikuntha is the eternal, transcendental spiritual realm in Hinduism where the god Vishnu resides in supreme bliss with his devotees.
-
B.
Vighneshvara
Vighneshvara is a prominent form of the Hindu god Ganesha, revered as the remover of obstacles and patron of beginnings and wisdom.
-
C.
Vaishvanara
Vaishvanara is a Vedic epithet of the fire god Agni, emphasizing his universal, all-pervading aspect as the cosmic fire present in all beings.
-
D.
Kameswara
Kameswara was a king of the Kediri (Kadiri) kingdom in East Java, Indonesia, known from Javanese historical traditions as one of the early rulers in the succession that included the famed King Jayabaya.
-
E.
Gosainthan
Gosainthan is another name for Shishapangma, one of the world’s fourteen 8,000-meter Himalayan peaks located in Tibet.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640793cd88190b9b84491bfb2493f |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.