Triple
T30944548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fountain of Bakhchisaray |
E788352
|
entity |
| Predicate | balletStructure |
P53546
|
FINISHED |
| Object | four acts |
—
|
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: four acts | Statement: [The Fountain of Bakhchisaray, balletStructure, four acts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balletStructure Context triple: [The Fountain of Bakhchisaray, balletStructure, four acts]
-
A.
danceStructure
Indicates a structural or organizational relationship between elements within a dance, such as how movements, sections, or patterns are arranged and connected.
-
B.
balletInActs
chosen
Indicates that a ballet is structured or divided into a specified number of acts.
-
C.
balletType
Indicates that one entity is classified as a specific type or category of ballet in relation to another entity.
-
D.
balletTitle
Indicates that the subject has the specified title as the name of a ballet.
-
E.
balletAssociation
Indicates a relationship where one entity is connected to another through involvement, affiliation, or participation in ballet.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:53 p.m.