Triple
T24656577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raga Bhimpalasi |
E610407
|
entity |
| Predicate | omittedNotesInAroha |
P156922
|
FINISHED |
| Object | Dha |
—
|
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: Dha | Statement: [Raga Bhimpalasi, omittedNotesInAroha, Dha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: omittedNotesInAroha Context triple: [Raga Bhimpalasi, omittedNotesInAroha, Dha]
-
A.
omittedNotesInAroha
chosen
Indicates that certain musical notes expected in an Aroha context are intentionally left out or not performed.
-
B.
noteCountAroha
Indicates the number of notes associated with or expressing "aroha" (love/affection) in relation to a given entity or context.
-
C.
sweetNotes
Indicates that one entity expresses kind, affectionate, or endearing written messages toward another entity.
-
D.
notableAbsence
Indicates that something or someone is conspicuously missing from a context where their presence would normally be expected or significant.
-
E.
noteCountAvaroha
Indicates the number of notes involved in the descending (avarohana) movement of a musical pattern or scale.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 2:34 a.m.