Triple
T32738702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hijaz scale |
E837160
|
entity |
| Predicate | builtFromStepPattern |
P174748
|
FINISHED |
| Object | semitone–augmented second–semitone |
—
|
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: semitone–augmented second–semitone | Statement: [Hijaz scale, builtFromStepPattern, semitone–augmented second–semitone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtFromStepPattern Context triple: [Hijaz scale, builtFromStepPattern, semitone–augmented second–semitone]
-
A.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
-
B.
builtThrough
Indicates that something was created, developed, or achieved by means of a specified method, process, or intermediary.
-
C.
buildStep
Indicates that one process, action, or component functions as a step within a larger construction or build sequence.
-
D.
buildingPattern
Indicates a recurring structural or architectural arrangement that characterizes how a building or set of buildings is organized or designed.
-
E.
hasStepFamily
Indicates that one person is related to another as a member of a stepfamily, such as a stepparent, stepchild, or stepsibling, through marriage rather than blood or adoption.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c906d54881909573f2d82ecd7ddd |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f717a88190a924d614c2c9bca3 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c5fa10dc8190b2c06e4c701bd246 |
completed | May 3, 2026, 3:50 a.m. |
Created at: May 1, 2026, 1:12 a.m.