Triple
T20477515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahā Upanishad VI.71–73 |
E502356
|
entity |
| Predicate | centralTerm |
P2309
|
FINISHED |
| Object | vasudhā (earth) |
—
|
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: vasudhā (earth) | Statement: [Mahā Upanishad VI.71–73, centralTerm, vasudhā (earth)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralTerm Context triple: [Mahā Upanishad VI.71–73, centralTerm, vasudhā (earth)]
-
A.
keyTerm
chosen
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
B.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
C.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
D.
centralName
Indicates that the specified name serves as the primary or main identifying label within a given context or naming structure.
-
E.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69966b9748190a5296d8ab03c07a1 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:34 a.m.