Triple
T38018212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satipatthana Sutta |
E948551
|
entity |
| Predicate | PaliTermForFeelingsSection |
P101704
|
FINISHED |
| Object | vedananupassana |
—
|
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: vedananupassana | Statement: [Satipatthana Sutta, PaliTermForFeelingsSection, vedananupassana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PaliTermForFeelingsSection Context triple: [Satipatthana Sutta, PaliTermForFeelingsSection, vedananupassana]
-
A.
hasBuddhistTerm
chosen
Indicates that one entity includes, references, or is associated with a term originating from or used within Buddhism.
-
B.
emotionAssociation
Indicates an emotional relationship or connection that one entity has toward another entity or concept.
-
C.
emotionalCounterpartOf
Indicates that one entity serves as the emotional equivalent, complement, or matching emotional role of another entity.
-
D.
moodInPhraseNoliMeTangere
Indicates that a particular mood (e.g., indicative, imperative, subjunctive) is expressed within the phrase "Noli Me Tangere."
-
E.
emotionValence
Indicates the positive, negative, or neutral emotional value or tone associated with an entity, event, or state.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:20 p.m.