Triple
T4512453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhakti yoga |
E102081
|
entity |
| Predicate | practicedThrough |
P10364
|
FINISHED |
| Object | chanting of God’s names |
—
|
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: chanting of God’s names | Statement: [Bhakti yoga, practicedThrough, chanting of God’s names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practicedThrough Context triple: [Bhakti yoga, practicedThrough, chanting of God’s names]
-
A.
hadPractice
Indicates that an entity engaged in or participated in a practice session or rehearsal.
-
B.
stillPracticedIn
Indicates that a tradition, custom, or practice continues to be actively carried out or observed in a specified place or context.
-
C.
isPracticedBy
chosen
Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular entity.
-
D.
mentionsPractice
Indicates that one entity refers to, discusses, or brings up a particular practice in some form of communication.
-
E.
requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5722d8fc81909c5f2d9a38d17a6b |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.