Triple
T20551617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatha Yoga |
E504608
|
entity |
| Predicate | traditionallyTaughtBy |
P140520
|
FINISHED |
| Object | guru |
—
|
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: guru | Statement: [Hatha Yoga, traditionallyTaughtBy, guru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyTaughtBy Context triple: [Hatha Yoga, traditionallyTaughtBy, guru]
-
A.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
B.
taughtThrough
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
C.
taughtPosthumouslyTo
Indicates that instruction or teaching was provided to someone only after the teacher’s death.
-
D.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
E.
areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d98c348190ac516bc2df59d878 |
completed | April 20, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.