Triple
T24474472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raga Bageshri |
E617192
|
entity |
| Predicate | importantNote |
P156247
|
FINISHED |
| Object | Pa is generally avoided or used sparingly |
—
|
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: Pa is generally avoided or used sparingly | Statement: [Raga Bageshri, importantNote, Pa is generally avoided or used sparingly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantNote Context triple: [Raga Bageshri, importantNote, Pa is generally avoided or used sparingly]
-
A.
importantObject
Indicates that one entity is considered especially significant, central, or of high priority in relation to another entity or context.
-
B.
importantAria
Indicates that an aria is considered significant or central in its musical, dramatic, or contextual role.
-
C.
importantSaint
Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
-
D.
isImportantFor
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
E.
importantOffice
Indicates that an entity holds or is associated with a position or office considered significant or high in importance within a given 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f299457ce081909e8d95fd482928dc |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:20 a.m.