Triple
T25733321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashvajit |
E645302
|
entity |
| Predicate | hearsTeachingFrom |
P27001
|
FINISHED |
| Object | Gautama Buddha at the first sermon |
—
|
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: Gautama Buddha at the first sermon | Statement: [Ashvajit, hearsTeachingFrom, Gautama Buddha at the first sermon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hearsTeachingFrom Context triple: [Ashvajit, hearsTeachingFrom, Gautama Buddha at the first sermon]
-
A.
hears
Indicates that one entity perceives or detects sounds produced by another entity or source.
-
B.
hearsFrom
chosen
Indicates that one entity receives information, communication, or a message from another entity.
-
C.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
D.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
E.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fcbd5e2c819085a05ac41bd5b4a4 |
completed | May 2, 2026, 1:31 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 11:19 p.m.