Triple
T10126405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Meistersinger von Nürnberg |
E226225
|
entity |
| Predicate | firstCompletePerformanceLanguage |
P35076
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Die Meistersinger von Nürnberg, firstCompletePerformanceLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompletePerformanceLanguage Context triple: [Die Meistersinger von Nürnberg, firstCompletePerformanceLanguage, German]
-
A.
firstPerformanceLanguage
chosen
Indicates the language in which a work was originally performed for the first time.
-
B.
performedLanguage
Indicates that an action, work, or performance was carried out using a specified language.
-
C.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
D.
firstPerformanceWork
Indicates that a performance is the debut or initial presentation of a particular work.
-
E.
firstPerformanceMedium
Indicates the medium or format (e.g., stage, radio, television) in which a work was first performed.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2eef7388190b95ffd02814f2d1f |
completed | April 2, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:05 p.m.