Triple
T36039977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chakrasamvara Tantra |
E1042513
|
entity |
| Predicate | classificationInTibetanTradition |
P70824
|
FINISHED |
| Object | highest yoga tantra |
—
|
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: highest yoga tantra | Statement: [Chakrasamvara Tantra, classificationInTibetanTradition, highest yoga tantra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationInTibetanTradition Context triple: [Chakrasamvara Tantra, classificationInTibetanTradition, highest yoga tantra]
-
A.
traditionClassification
chosen
Indicates how a given item, practice, or concept is categorized within a particular tradition or system of traditions.
-
B.
roleInTibet
Indicates that an entity holds or has held a specific role, position, or function within the context of Tibet.
-
C.
equivalentInTibet
Indicates that two entities are considered equivalent or correspond to each other within the context of Tibet.
-
D.
classificationOf
Indicates that one entity serves as a classification, category, or type under which another entity is grouped or organized.
-
E.
viewedAsByBuddhistTexts
Indicates how something is regarded, interpreted, or characterized specifically within Buddhist texts.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.