Triple
T17953651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varuṇaloka |
E448891
|
entity |
| Predicate | oftenEnvisionedAs |
P534
|
FINISHED |
| Object | divine oceanic realm |
—
|
LITERAL 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: divine oceanic realm | Statement: [Varuṇaloka, oftenEnvisionedAs, divine oceanic realm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenEnvisionedAs Context triple: [Varuṇaloka, oftenEnvisionedAs, divine oceanic realm]
-
A.
envisionedAs
chosen
Indicates that one entity is mentally pictured, imagined, or conceived in terms of another entity or role.
-
B.
oftenDepictedAs
Indicates that one entity is frequently represented or portrayed in the form, appearance, or symbolism of another entity.
-
C.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
D.
hasVisionOf
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
-
E.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
- F. None of above.
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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afae2aa081909a59a8cd4f1d04e1 |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.