Triple
T35980886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Perfection |
E1040558
|
entity |
| Predicate | definesRigpaAs |
P198205
|
FINISHED |
| Object | pristine non-dual awareness |
—
|
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: pristine non-dual awareness | Statement: [Great Perfection, definesRigpaAs, pristine non-dual awareness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesRigpaAs Context triple: [Great Perfection, definesRigpaAs, pristine non-dual awareness]
-
A.
GandenPhodrangRole
Indicates a role or position held within the Ganden Phodrang governmental or institutional system.
-
B.
Prasannapadā_type
Indicates that something is classified as belonging to the Prasannapadā type, i.e., it stands in a relation of being of the same kind or category as the Prasannapadā.
-
C.
roleInTibet
Indicates that an entity holds or has held a specific role, position, or function within the context of Tibet.
-
D.
impliesRoleOfMahakasyapa
Indicates that one entity implies or entails the role or function associated with Mahākāśyapa for another entity.
-
E.
fifthDrukGyalpo
Indicates that the subject is the fifth Druk Gyalpo (Dragon King) in the hereditary line of Bhutanese monarchs.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fed09a12648190affcd9bacf7ca275 |
completed | May 9, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fecf91d6f481908deb60c965c433ed |
completed | May 9, 2026, 6:09 a.m. |
| PDg | Predicate description generation | batch_69fed098328c819085979de6b179b378 |
completed | May 9, 2026, 6:13 a.m. |
Created at: May 3, 2026, 4:07 p.m.