Triple
T31924248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swarajati “Rave Himagiri Kumari” |
E815056
|
entity |
| Predicate | musicalComplexity |
P192310
|
FINISHED |
| Object | advanced |
—
|
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: advanced | Statement: [Swarajati “Rave Himagiri Kumari”, musicalComplexity, advanced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalComplexity Context triple: [Swarajati “Rave Himagiri Kumari”, musicalComplexity, advanced]
-
A.
hasRhythmicComplexity
Indicates that one entity exhibits or involves a level of rhythmic intricacy or variation in relation to another entity or context.
-
B.
lyricalComplexity
Indicates the degree to which lyrics exhibit intricate structure, vocabulary, and thematic depth in their composition.
-
C.
melodyMeter
Indicates a relationship where a melody is associated with, or structured according to, a specific metrical pattern or time signature.
-
D.
musicMeter
Indicates the rhythmic structure or time signature governing how beats are organized within a piece of music.
-
E.
hasTimeSignatureComplexity
Indicates that one musical work, passage, or pattern is characterized by a specified level or type of complexity in its time signature.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 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: May 1, 2026, 12:03 a.m.