Triple
T22005152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Translations of the Upanishads |
E543431
|
entity |
| Predicate | scriptureCategoryTranslated |
P146241
|
FINISHED |
| Object | Vedanta scriptures |
—
|
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: Vedanta scriptures | Statement: [Translations of the Upanishads, scriptureCategoryTranslated, Vedanta scriptures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptureCategoryTranslated Context triple: [Translations of the Upanishads, scriptureCategoryTranslated, Vedanta scriptures]
-
A.
scriptureTypeTranslated
Indicates that a scripture or sacred text has been translated into a particular type, version, or format.
-
B.
scriptureTranslatedBy
Indicates that a particular scripture has been translated by a specific agent (such as a person, group, or organization).
-
C.
usedScriptureTranslation
Indicates that one entity employed or relied on a particular translation of scripture in its actions, works, or communications.
-
D.
scriptureTextEnglish
Indicates that an entity’s associated scripture or sacred text is provided in the English language.
-
E.
scriptureTraditionallyShown
Indicates that something is traditionally depicted or represented in religious scriptures in association with something else.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276d81e4819083a40e51249e7fd7 |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:21 p.m.