Triple
T22634320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanuja’s Vedantic corpus |
E558638
|
entity |
| Predicate | aimsToSystematize |
P64674
|
FINISHED |
| Object | Vishishtadvaita interpretation of the Upanishads |
—
|
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: Vishishtadvaita interpretation of the Upanishads | Statement: [Ramanuja’s Vedantic corpus, aimsToSystematize, Vishishtadvaita interpretation of the Upanishads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToSystematize Context triple: [Ramanuja’s Vedantic corpus, aimsToSystematize, Vishishtadvaita interpretation of the Upanishads]
-
A.
systematicallyPresents
Indicates that one entity presents or displays another in an organized, methodical, and structured manner.
-
B.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
aimsToDistinguish
Indicates an intention or effort by one entity to set itself or something else apart from others by highlighting differences or unique characteristics.
-
D.
aimsToTreat
Indicates that one entity (typically an intervention, treatment, or action) is intended or designed to alleviate, cure, or manage a condition, problem, or target entity.
-
E.
aimsToModel
Indicates that one entity is intended or designed to represent, simulate, or approximate the behavior, structure, or properties 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700be10c8190830393fdbec1033d |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:03 p.m.