Triple
T36004429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hevajra Tantra |
E1041223
|
entity |
| Predicate | hasCommentaryTraditionIn |
P207131
|
FINISHED |
| Object | Tibetan language |
—
|
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: Tibetan language | Statement: [Hevajra Tantra, hasCommentaryTraditionIn, Tibetan language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommentaryTraditionIn Context triple: [Hevajra Tantra, hasCommentaryTraditionIn, Tibetan language]
-
A.
hasCommentaryOn
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
B.
hasCommentaryIn
Indicates that an entity is discussed, analyzed, or annotated within a specific commentary work or source.
-
C.
commentarialTraditionBy
Indicates that a given work, idea, or text belongs to or is interpreted within a particular commentarial tradition established or represented by the referenced agent or school.
-
D.
commentarialTraditionOn
Indicates that a particular commentarial tradition is directed toward, or focused on interpreting, a specific text, idea, or subject.
-
E.
hasCommentaryForm
Indicates that one entity exists in, or is associated with, a commentary version or format of another entity.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:07 p.m.