Triple
T20126528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Right Concentration |
E490771
|
entity |
| Predicate | isCultivatedThrough |
P102095
|
FINISHED |
| Object | jhāna |
—
|
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: jhāna | Statement: [Right Concentration, isCultivatedThrough, jhāna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCultivatedThrough Context triple: [Right Concentration, isCultivatedThrough, jhāna]
-
A.
isCultivated
Indicates that an entity is intentionally grown, managed, or maintained by humans rather than occurring or developing naturally without human intervention.
-
B.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
C.
cultivatedThrough
chosen
Indicates that something is developed, improved, or brought into existence by means of a specified method, practice, or process.
-
D.
cultivatedSince
Indicates that one entity has been intentionally grown, farmed, or maintained by another entity starting from a specified point in time.
-
E.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674223008190827c454fe7ac86f4 |
completed | April 20, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.