Triple
T26725234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetambara canon |
E673818
|
entity |
| Predicate | traditionalNumberOfAngas |
P180126
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Svetambara canon, traditionalNumberOfAngas, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalNumberOfAngas Context triple: [Svetambara canon, traditionalNumberOfAngas, 12]
-
A.
hasNumberOfAngas
chosen
Indicates the relationship specifying how many angas (parts or sections) are associated with a given entity.
-
B.
traditionalNumberOfMembers
Indicates the customary or historically typical number of members associated with an entity or group.
-
C.
numberTradition
Indicates a relationship where a specific number is associated with, or holds significance within, a particular tradition or customary practice.
-
D.
positionInTraditionalCount
Indicates the ordinal position an entity holds within a traditional or customary counting sequence.
-
E.
numberOfSangamsInTradition
Indicates the count of sangams (literary academies or assemblies) associated with or recognized within a given tradition.
- 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_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 27, 2026, 3:42 a.m.