Triple
T26725180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jain Agamas |
E673817
|
entity |
| Predicate | numberOfAngasInSvetambaraTradition |
P180126
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Jain Agamas, numberOfAngasInSvetambaraTradition, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAngasInSvetambaraTradition Context triple: [Jain Agamas, numberOfAngasInSvetambaraTradition, 11]
-
A.
numberOfSangamsInTradition
Indicates the count of sangams (literary academies or assemblies) associated with or recognized within a given tradition.
-
B.
numberOfDreamsInSvetambaraTradition
Indicates the count of distinct dreams recognized within the Svetambara Jain tradition.
-
C.
hasNumberOfAngas
chosen
Indicates the relationship specifying how many angas (parts or sections) are associated with a given entity.
-
D.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
E.
numberOfSkandhas
Indicates the relationship that specifies how many skandhas (aggregates) are associated with a given entity or concept.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: April 27, 2026, 3:42 a.m.