Triple
T31645292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varali |
E807568
|
entity |
| Predicate | descendingNotes |
P172603
|
FINISHED |
| Object | S N3 D1 P M1 G1 R1 S |
—
|
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: S N3 D1 P M1 G1 R1 S | Statement: [Varali, descendingNotes, S N3 D1 P M1 G1 R1 S]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: descendingNotes Context triple: [Varali, descendingNotes, S N3 D1 P M1 G1 R1 S]
-
A.
descendingScale
chosen
Indicates a relationship where a sequence of values, notes, or elements moves stepwise from higher to lower levels.
-
B.
descendingScaleName
Indicates that one entity is the name or label assigned to a musical scale when it is played or considered in descending order.
-
C.
down
Indicates that one entity is located at a lower position or level relative to another entity or reference point.
-
D.
turnsDown
Indicates that one entity rejects, refuses, or declines an offer, request, or proposal made by another entity.
-
E.
descendDuring
Indicates that one entity moves downward or decreases in level, altitude, or position during the time span or occurrence of another event or condition.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
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, 10:50 p.m.