Triple
T31692806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goula |
E808836
|
entity |
| Predicate | noteCountAvarohana |
P155831
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Goula, noteCountAvarohana, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noteCountAvarohana Context triple: [Goula, noteCountAvarohana, 5]
-
A.
noteCountAvaroha
chosen
Indicates the number of notes involved in the descending (avarohana) movement of a musical pattern or scale.
-
B.
noteCountArohana
Indicates the number of notes involved in the ascending (arohana) movement of a musical scale or pattern.
-
C.
noteCountAroha
Indicates the number of notes associated with or expressing "aroha" (love/affection) in relation to a given entity or context.
-
D.
noteCountAscending
Indicates that the number of notes associated with entities is ordered from lower to higher values.
-
E.
titleCount
Indicates the number of distinct titles associated with an entity within a given context.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:09 p.m.