Triple
T32738712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hijaz scale |
E837160
|
entity |
| Predicate | hasModeDegreePattern |
P151766
|
FINISHED |
| Object | 1–b2–3–4–5–b6–b7 |
—
|
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: 1–b2–3–4–5–b6–b7 | Statement: [Hijaz scale, hasModeDegreePattern, 1–b2–3–4–5–b6–b7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModeDegreePattern Context triple: [Hijaz scale, hasModeDegreePattern, 1–b2–3–4–5–b6–b7]
-
A.
scaleDegreePattern
chosen
Indicates the ordered sequence of scale degrees that defines the relative pitch pattern within a musical scale or melody.
-
B.
hasDegreeStructure
Indicates that an entity possesses a particular degree-based organizational or hierarchical structure.
-
C.
hasNumberOfDegrees
Indicates the quantity of academic degrees that an entity possesses.
-
D.
hasDirectionPatterns
Indicates that one entity exhibits or is associated with specific directional patterns in its behavior, structure, or configuration relative to another entity or context.
-
E.
hasDegreeLength
Indicates that something possesses a length measured in degrees, typically expressing angular extent or size.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: May 1, 2026, 1:12 a.m.