Triple
T38049676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anapanasati Sutta |
E949717
|
entity |
| Predicate | fourthTetradFocus |
P190238
|
FINISHED |
| Object | dhammas |
—
|
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: dhammas | Statement: [Anapanasati Sutta, fourthTetradFocus, dhammas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthTetradFocus Context triple: [Anapanasati Sutta, fourthTetradFocus, dhammas]
-
A.
fourthPrecept
Indicates the relationship in which an entity adheres to or is associated with the fourth precept, typically the moral rule against sexual misconduct.
-
B.
fourthTruthName
Indicates that an entity is identified by or associated with the fourth name in a sequence of truth-related names.
-
C.
fourthSingle
Indicates that an entity is the fourth individual item or occurrence in a sequence, considered on its own rather than as part of a group.
-
D.
fourthTrack
Indicates that one entity is the fourth track in an ordered sequence of tracks associated with another entity.
-
E.
fourthSatellite
Indicates that one entity is the fourth satellite (e.g., moon or artificial satellite) in an ordered sequence orbiting another entity.
- F. None of above. chosen
Provenance (4 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_69f76f000cf081908c11fb5443b392e6 |
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. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:20 p.m.