Triple
T923623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vishishtadvaita |
E19934
|
entity |
| Predicate | regardsWorldAs |
P19063
|
FINISHED |
| Object | real |
—
|
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: real | Statement: [Vishishtadvaita, regardsWorldAs, real]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regardsWorldAs Context triple: [Vishishtadvaita, regardsWorldAs, real]
-
A.
viewedEarthAs
Indicates perceiving or regarding Earth in a particular way, often reflecting an attitude, interpretation, or conceptual perspective toward the planet.
-
B.
relationshipToWorld
Indicates how an entity is connected or related to the broader world or external environment.
-
C.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
D.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
E.
worldview
chosen
Indicates the overarching perspective or framework through which an entity interprets and understands the world and its experiences.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.