Triple
T12529093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prelude in C major, BWV 846 |
E299512
|
entity |
| Predicate | numberOfBars |
P81815
|
FINISHED |
| Object | commonly around 35 measures (depending on edition) |
—
|
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: commonly around 35 measures (depending on edition) | Statement: [Prelude in C major, BWV 846, numberOfBars, commonly around 35 measures (depending on edition)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBars Context triple: [Prelude in C major, BWV 846, numberOfBars, commonly around 35 measures (depending on edition)]
-
A.
hasBars
chosen
Indicates that one entity possesses, contains, or is equipped with bars as a defining feature or component.
-
B.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
C.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
-
D.
barbelCount
Indicates the number of barbels (whisker-like sensory organs) an entity possesses.
-
E.
maximumBarsPerPlace
Indicates the upper limit on how many bars are allowed or can exist within a single place or location.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.