Triple
T25678665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodhisattva |
E643876
|
entity |
| Predicate | perfectionPracticed |
P158985
|
FINISHED |
| Object | patience |
—
|
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: patience | Statement: [Bodhisattva, perfectionPracticed, patience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perfectionPracticed Context triple: [Bodhisattva, perfectionPracticed, patience]
-
A.
perfectionPracticed
chosen
Indicates that an entity actively engages in or applies practices aimed at achieving or maintaining perfection.
-
B.
inspiredPractice
Indicates that one entity’s example, ideas, or behavior has motivated another entity to adopt or engage in a particular practice.
-
C.
viewOnPerfection
Indicates a subject’s stance, belief, or interpretation regarding the nature or attainability of perfection.
-
D.
practicedOver
Indicates that one entity repeatedly or regularly performed an activity, skill, or behavior directed toward or involving another entity over a period of time.
-
E.
practicedWith
Indicates that one entity engaged in practice or training together with 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb77c3a08190b63e811dd21989fd |
completed | May 2, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 7:43 p.m.