Triple
T23298732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adagio on Hebrew melodies |
E590242
|
entity |
| Predicate | usesScaleCharacteristics |
P151769
|
FINISHED |
| Object | Jewish melodic modes |
—
|
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: Jewish melodic modes | Statement: [Adagio on Hebrew melodies, usesScaleCharacteristics, Jewish melodic modes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScaleCharacteristics Context triple: [Adagio on Hebrew melodies, usesScaleCharacteristics, Jewish melodic modes]
-
A.
supportsContentsScale
Indicates that an object can adjust its content rendering to match a specified display or screen scale factor.
-
B.
coversScale
Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
-
C.
userScale
Indicates that a user adjusts or sets the scale, size, or zoom level of an object, interface, or content.
-
D.
isScaleInvariant
Indicates that a property, equation, or system remains unchanged when all relevant dimensions or variables are uniformly scaled by a common factor.
-
E.
requiresFeatureScaling
Indicates that applying feature scaling is a necessary preprocessing step for the associated data or model.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d133448190bf350a9f51c1531c |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:03 p.m.