Triple
T24279568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teental |
E605501
|
entity |
| Predicate | hasTempoRange |
P83539
|
FINISHED |
| Object | vilambit |
—
|
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: vilambit | Statement: [Teental, hasTempoRange, vilambit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTempoRange Context triple: [Teental, hasTempoRange, vilambit]
-
A.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
-
B.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
C.
hasTempoCategory
chosen
Indicates that something is associated with a particular tempo classification or speed category.
-
D.
musicalTempo
Indicates the speed or pace at which a piece of music is performed or intended to be performed.
-
E.
hasTempoOrientation
Indicates that one entity is characterized by a particular temporal direction or alignment (such as past-, present-, or future-oriented) in relation to another entity or context.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f51050481908a9bd3c586702057 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.