Triple
T38018213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satipatthana Sutta |
E948551
|
entity |
| Predicate | PaliTermForMindSection |
P101705
|
FINISHED |
| Object | cittanupassana |
—
|
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: cittanupassana | Statement: [Satipatthana Sutta, PaliTermForMindSection, cittanupassana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PaliTermForMindSection Context triple: [Satipatthana Sutta, PaliTermForMindSection, cittanupassana]
-
A.
hasBuddhistTerm
Indicates that one entity includes, references, or is associated with a term originating from or used within Buddhism.
-
B.
inBuddhistCanon
Indicates that something is included within, or recognized as part of, the Buddhist canonical scriptures.
-
C.
abhidharmaText
Indicates a relationship where a text is classified as or associated with Abhidharma literature within the Buddhist doctrinal corpus.
-
D.
hasPaliName
Indicates that an entity is associated with a name expressed in the Pali language.
-
E.
relatedPaliName
chosen
Indicates that one entity has an associated or corresponding name expressed in Pali for the other 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 3, 2026, 4:20 p.m.