Triple
T15602152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pythagorean tuning |
E375058
|
entity |
| Predicate | constructsScaleBy |
P119408
|
FINISHED |
| Object | cycle of fifths |
—
|
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: cycle of fifths | Statement: [Pythagorean tuning, constructsScaleBy, cycle of fifths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructsScaleBy Context triple: [Pythagorean tuning, constructsScaleBy, cycle of fifths]
-
A.
scalesWith
Indicates that a change in one quantity is systematically associated with a proportional or otherwise dependent change in another quantity.
-
B.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
C.
associatedScale
Indicates that one entity is linked or connected to a particular scale used to measure, classify, or evaluate it.
-
D.
seriesScale
Indicates that one value or measurement is expressed relative to another according to a defined proportional scale within a series.
-
E.
coversScale
Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e6399d88190b2c3e781667666d4 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:12 a.m.