Triple
T34022106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddhist ethics |
E872406
|
entity |
| Predicate | viewsActionsThrough |
P127421
|
FINISHED |
| Object | consequences for suffering |
—
|
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: consequences for suffering | Statement: [Buddhist ethics, viewsActionsThrough, consequences for suffering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsActionsThrough Context triple: [Buddhist ethics, viewsActionsThrough, consequences for suffering]
-
A.
viewOnActs
chosen
Indicates a relationship where one entity holds or expresses a particular opinion, perspective, or stance regarding certain actions or activities performed by another entity.
-
B.
viewsAs
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
C.
viewsBehaviorAs
Indicates that one entity interprets, judges, or regards another entity’s behavior in a particular way.
-
D.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
E.
viewIs
Indicates that one entity is a visual representation or perspective 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:51 a.m.