Triple
T24747906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raga Kafi |
E619053
|
entity |
| Predicate | hasJati |
P157088
|
FINISHED |
| Object | sampurna-sampurna |
—
|
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: sampurna-sampurna | Statement: [Raga Kafi, hasJati, sampurna-sampurna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJati Context triple: [Raga Kafi, hasJati, sampurna-sampurna]
-
A.
hasJavaneseName
Indicates that an entity possesses a name expressed in the Javanese language.
-
B.
hasMalayName
Indicates that an entity is associated with a specific name expressed in the Malay language.
-
C.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
D.
hasHapū
Indicates a relationship where an iwi (tribe) possesses, is composed of, or is associated with one or more hapū (sub-tribes).
-
E.
hasJapaneseSurname
Indicates that the person or entity possesses a surname that is of Japanese origin or is commonly used in Japanese naming conventions.
- 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.