Triple
T24747905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raga Kafi |
E619053
|
entity |
| Predicate | hasSamvadi |
P155663
|
FINISHED |
| Object | Sa |
—
|
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: Sa | Statement: [Raga Kafi, hasSamvadi, Sa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSamvadi Context triple: [Raga Kafi, hasSamvadi, Sa]
-
A.
samvadi
chosen
Indicates a consonant or harmonically compatible relationship between two musical notes, where one serves as a secondary focal tone supporting the primary (vadi) note.
-
B.
hasSam
Indicates that one entity possesses, contains, or is associated with an entity named or identified as Sam.
-
C.
hasSamOn
Indicates that one entity has a person named Sam positioned on or attached to it.
-
D.
hasSamadhi
Indicates that an entity possesses or has attained the state of samadhi (deep meditative absorption or spiritual concentration) in relation to another context or state.
-
E.
hasPoliticalDialogue
Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:23 a.m.