Triple
T4512949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uddyotakara |
E102091
|
entity |
| Predicate | opposedSchool |
P437
|
FINISHED |
| Object | Buddhist epistemology |
—
|
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: Buddhist epistemology | Statement: [Uddyotakara, opposedSchool, Buddhist epistemology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedSchool Context triple: [Uddyotakara, opposedSchool, Buddhist epistemology]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
opposedConference
Indicates that one entity actively resists, counters, or works against another entity within the context of a conference or formal gathering.
-
C.
partnerSchool
Indicates a formal collaborative relationship between two educational institutions, typically involving shared programs, resources, or exchange activities.
-
D.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
E.
rivalInstitution
Indicates that one institution is in a state of competition or opposition with another institution.
- 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, 1:02 p.m.