Triple
T6872915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samkhyakarika |
E158595
|
entity |
| Predicate | definesNumberOfTattvas |
P73854
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [Samkhyakarika, definesNumberOfTattvas, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesNumberOfTattvas Context triple: [Samkhyakarika, definesNumberOfTattvas, 25]
-
A.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
B.
numberOfPadarthas
Indicates the relationship that specifies how many distinct padarthas (categories or entities) are associated with or contained in a given subject.
-
C.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
D.
numberOfSkandhas
Indicates the relationship that specifies how many skandhas (aggregates) are associated with a given entity or concept.
-
E.
numberInTevaramTrinity
Indicates the specific numbered position an item holds within the Tevaram Trinity sequence or set.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c73ea08190b6bb1463e7ead47b |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.