Triple
T10576901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trishala |
E249632
|
entity |
| Predicate | numberOfDreamsInDigambaraTradition |
P94724
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Trishala, numberOfDreamsInDigambaraTradition, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDreamsInDigambaraTradition Context triple: [Trishala, numberOfDreamsInDigambaraTradition, 16]
-
A.
numberOfSangamsInTradition
Indicates the count of sangams (literary academies or assemblies) associated with or recognized within a given tradition.
-
B.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
C.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
D.
numberOfSkandhas
Indicates the relationship that specifies how many skandhas (aggregates) are associated with a given entity or concept.
-
E.
numberOfVisions
Indicates the quantity of visions experienced or associated with an entity.
- F. None of above. chosen
Provenance (4 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5275628988190bd00dd3f8d7c3937 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:38 p.m.