Triple
T4936559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalki |
E110824
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Kalki Avatar |
E110824
|
NE FINISHED |
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: Kalki Avatar | Statement: [Kalki, title, Kalki Avatar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalki Avatar Context triple: [Kalki, title, Kalki Avatar]
-
A.
Kalki
chosen
Kalki is the prophesied future incarnation of the Hindu god Vishnu who is foretold to appear at the end of the current age to restore righteousness and cosmic order.
-
B.
Dashavatara
Dashavatara refers to the ten principal incarnations of the Hindu god Vishnu, each believed to appear in different ages to restore cosmic order and righteousness.
-
C.
Arudra Darshan
Arudra Darshan is a Hindu festival dedicated to Lord Shiva, particularly celebrated in South India to honor his cosmic dance form, Nataraja.
-
D.
Vayam Rakshamah
Vayam Rakshamah is the Sanskrit motto of the Indian Coast Guard, meaning “We Protect” or “We Guard.”
-
E.
Sesha Vahana
Sesha Vahana is the divine serpent mount of Lord Vishnu, prominently featured in Hindu temple festivals and iconography.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7085b1dc819099408f6503f0210f |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77ba40f881908452455ad55221e5 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:30 p.m.