Triple
T12477207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oktoberfest in Villa General Belgrano |
E298204
|
entity |
| Predicate | typeOfDance |
P20189
|
FINISHED |
| Object | traditional German dances |
—
|
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: traditional German dances | Statement: [Oktoberfest in Villa General Belgrano, typeOfDance, traditional German dances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDance Context triple: [Oktoberfest in Villa General Belgrano, typeOfDance, traditional German dances]
-
A.
typeOfDanceFeatured
Indicates the specific style or category of dance that is highlighted or showcased in a given context or work.
-
B.
balletType
Indicates that one entity is classified as a specific type or category of ballet in relation to another entity.
-
C.
choreographyStyle
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
-
D.
musicAndDance
Indicates a relationship where music is performed, accompanied by, or integrated with dance as a coordinated activity or event.
-
E.
danceForm
chosen
Indicates that one entity is a style or type of dance associated with the other entity.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.