Triple
T28217572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staatsballett Berlin |
E711355
|
entity |
| Predicate | hasNumberOfDancersApprox |
P62535
|
FINISHED |
| Object | 80 |
—
|
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: 80 | Statement: [Staatsballett Berlin, hasNumberOfDancersApprox, 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfDancersApprox Context triple: [Staatsballett Berlin, hasNumberOfDancersApprox, 80]
-
A.
typicalNumberOfDancers
chosen
Indicates the usual or standard number of dancers involved in a particular dance, performance, or context.
-
B.
numberOfWomenDancers
Indicates the count of women who are performing as dancers in a given context or event.
-
C.
numberOfDances
Indicates the quantity or count of dances associated with a given entity or event.
-
D.
numberOfMenDancers
Indicates the count of male individuals performing as dancers in a given context or event.
-
E.
hasDanceEnsemble
Indicates that an entity is associated with or includes a particular dance ensemble as part of its activities or composition.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 27, 2026, 10:44 p.m.