Triple
T17952584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaudapada |
E448867
|
entity |
| Predicate | chapterTheme |
P32494
|
FINISHED |
| Object | analysis of the states of consciousness |
—
|
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: analysis of the states of consciousness | Statement: [Gaudapada, chapterTheme, analysis of the states of consciousness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterTheme Context triple: [Gaudapada, chapterTheme, analysis of the states of consciousness]
-
A.
chapterType
Indicates the specific kind or category of a chapter within a larger work or document.
-
B.
chapterOn
chosen
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
C.
book3Theme
Indicates that a theme is associated with or expressed in the third book of a series or collection.
-
D.
chapterNameEnglish
Indicates that an entity (such as a chapter) has a specific name expressed in English.
-
E.
chapterAfter
Indicates that one chapter directly follows another in a sequential ordering.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afad61f481908b34cd24de88983c |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.