Triple
T31645230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabhi |
E807567
|
entity |
| Predicate | usesChatusrutiRishabha |
P192309
|
FINISHED |
| Object | R2 |
—
|
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: R2 | Statement: [Arabhi, usesChatusrutiRishabha, R2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesChatusrutiRishabha Context triple: [Arabhi, usesChatusrutiRishabha, R2]
-
A.
usesSwaras
Indicates that one entity employs or incorporates specific musical notes (swaras) in relation to another entity or context.
-
B.
hasDrutamAksharas
Indicates that something possesses or is associated with a specific number of drutam rhythmic units (aksharas) in a metrical or musical context.
-
C.
usesShuddhaSwaras
Indicates that an entity employs only the pure (shuddha) notes of the scale, without incorporating altered or variant swaras.
-
D.
hasRishis
Indicates that an entity is associated with or possesses one or more rishis (sages), typically as members, teachers, or guiding figures.
-
E.
nameInDevanagari
Indicates that an entity’s name is written or represented using the Devanagari script.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: April 30, 2026, 10:50 p.m.