Triple
T24747896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raga Kafi |
E619053
|
entity |
| Predicate | hasAvarohana |
P157087
|
FINISHED |
| Object | S' n D P m g R S |
—
|
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: S' n D P m g R S | Statement: [Raga Kafi, hasAvarohana, S' n D P m g R S]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAvarohana Context triple: [Raga Kafi, hasAvarohana, S' n D P m g R S]
-
A.
hasTheka
Indicates a relationship where one entity possesses, is equipped with, or features a theka (a specific rhythmic pattern or accompaniment).
-
B.
hasAwa
Indicates a relationship where one entity possesses, contains, or is associated with another entity referred to as "Awa."
-
C.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
D.
hasOpeningFeature
Indicates that an entity possesses a specific characteristic, element, or attribute related to its opening or entry point.
-
E.
hasArrangementFeature
Indicates that one entity possesses a specific structural or spatial arrangement characteristic related to another entity or context.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:23 a.m.