Triple
T11590204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWV 1001–1006 |
E274859
|
entity |
| Predicate | containsDanceForms |
P20189
|
FINISHED |
| Object | allemande |
—
|
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: allemande | Statement: [BWV 1001–1006, containsDanceForms, allemande]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDanceForms Context triple: [BWV 1001–1006, containsDanceForms, allemande]
-
A.
usesDanceForms
Indicates that one entity employs or incorporates specific dance forms in its actions, practices, or expressions.
-
B.
hasDanceEnsemble
Indicates that an entity is associated with or includes a particular dance ensemble as part of its activities or composition.
-
C.
danceForm
chosen
Indicates that one entity is a style or type of dance associated with the other entity.
-
D.
typeOfDanceFeatured
Indicates the specific style or category of dance that is highlighted or showcased in a given context or work.
-
E.
hasTraditionalDance
Indicates that an entity is associated with, practices, or possesses a specific traditional dance.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.