Triple
T38599388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozart–Da Ponte trilogy |
E934167
|
entity |
| Predicate | principalCityOfPremieres |
P64741
|
FINISHED |
| Object | Vienna |
—
|
NE NERFINISHED |
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: Vienna | Statement: [Mozart–Da Ponte trilogy, principalCityOfPremieres, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principalCityOfPremieres Context triple: [Mozart–Da Ponte trilogy, principalCityOfPremieres, Vienna]
-
A.
cityForPremieresOf
chosen
Indicates the city where premieres of a work, event, or production take place.
-
B.
worldPremierePlace
Indicates the place where something (typically a work or event) was first publicly premiered in the world.
-
C.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
-
D.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
E.
premieredIn
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.