Triple
T31645290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varali |
E807568
|
entity |
| Predicate | descendingScaleName |
P172876
|
FINISHED |
| Object | avarohana |
—
|
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: avarohana | Statement: [Varali, descendingScaleName, avarohana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: descendingScaleName Context triple: [Varali, descendingScaleName, avarohana]
-
A.
descendingScale
Indicates a relationship where a sequence of values, notes, or elements moves stepwise from higher to lower levels.
-
B.
ascendingScaleType
Indicates that the relationship specifies the type or pattern of an ascending (upward-moving) scale used in a musical or ordered sequence context.
-
C.
isDecreasing
Indicates that a quantity, value, or measure is becoming smaller over time or across a sequence.
-
D.
isDownwardSlopingIn
Indicates that a quantity or function decreases as the specified variable or dimension increases within a given context.
-
E.
descendsBy
Indicates that one entity moves or is positioned at a lower level than another by a specified vertical distance or step count.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 30, 2026, 10:50 p.m.