Triple
T18540212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badarayana |
E453074
|
entity |
| Predicate | BrahmaSutrasStructure |
P132071
|
FINISHED |
| Object | aphoristic sutra style |
—
|
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: aphoristic sutra style | Statement: [Badarayana, BrahmaSutrasStructure, aphoristic sutra style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrahmaSutrasStructure Context triple: [Badarayana, BrahmaSutrasStructure, aphoristic sutra style]
-
A.
NyayaSutrasStructure
Indicates the structural or organizational relationships among the components or sections within the Nyaya Sutras.
-
B.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
C.
teachesRelationBetweenBrahmanAndSoulsAs
Indicates that a subject teaches or explains the nature of the relationship between Brahman and individual souls in a specified manner.
-
D.
numberOfSkandhas
Indicates the relationship that specifies how many skandhas (aggregates) are associated with a given entity or concept.
-
E.
positionInMukhyaUpanishads
Indicates the specific ordinal placement or ranking that something occupies within the sequence of the principal (Mukhya) Upanishads.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b64178819082861a03fd067095 |
completed | April 19, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.