Triple
T21907955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śiva-sūtras (phonological inventory) |
E540987
|
entity |
| Predicate | hasFirstSutra |
P145587
|
FINISHED |
| Object | a i u ṇ |
—
|
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: a i u ṇ | Statement: [Śiva-sūtras (phonological inventory), hasFirstSutra, a i u ṇ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstSutra Context triple: [Śiva-sūtras (phonological inventory), hasFirstSutra, a i u ṇ]
-
A.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
B.
hasSacredText
Indicates that an entity possesses or is associated with a particular sacred or religious text.
-
C.
hasBodhisattva
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
-
D.
hasSamadhi
Indicates that an entity possesses or has attained the state of samadhi (deep meditative absorption or spiritual concentration) in relation to another context or state.
-
E.
hasVeda
Indicates that an entity possesses, is associated with, or is characterized by a particular Veda.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d806688190b23502aacbfde4bd |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 7:39 p.m.