Triple
T24474475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raga Bageshri |
E617192
|
entity |
| Predicate | anga |
P156248
|
FINISHED |
| Object | Kafi-ang raga |
—
|
NE NERFINISHED |
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: Kafi-ang raga | Statement: [Raga Bageshri, anga, Kafi-ang raga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anga Context triple: [Raga Bageshri, anga, Kafi-ang raga]
-
A.
aka
Indicates that one entity is also known by an alternative name or alias that refers to the same thing.
-
B.
נחשב
Indicates that something or someone is regarded, considered, or deemed to have a certain status, quality, or classification.
-
C.
हवामान
Indicates a relationship involving weather conditions or atmospheric state affecting entities or events.
-
D.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
-
E.
aria
Indicates that an entity is associated with ARIA (Accessible Rich Internet Applications) attributes or roles that define how it should be interpreted by assistive technologies.
- 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.