Triple
T37733506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Buddhist Council |
E940220
|
entity |
| Predicate | numberOfIssuesDiscussed |
—
|
GENERATED |
| Object | ten points of discipline |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIssuesDiscussed Context triple: [Second Buddhist Council, numberOfIssuesDiscussed, ten points of discipline]
-
A.
numberOfIssues
chosen
Indicates the quantity of issues associated with a given entity or context.
-
B.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
C.
issueNumber
Indicates the specific numeric identifier assigned to distinguish one issue from others within a series or collection.
-
D.
numberOfDialogues
Indicates the total count of dialogues associated with or occurring between the referenced entities.
-
E.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- F. None of above.
Provenance (1 batch)
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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.