Triple
T32902550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna version |
E841649
|
entity |
| Predicate | hasPremiereCity |
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: [Vienna version, hasPremiereCity, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPremiereCity Context triple: [Vienna version, hasPremiereCity, Vienna]
-
A.
cityForPremieresOf
chosen
Indicates the city where premieres of a work, event, or production take place.
-
B.
premieredIn
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
-
C.
worldPremierePlace
Indicates the place where something (typically a work or event) was first publicly premiered in the world.
-
D.
conductedPremiereOf
Indicates that one entity organized and presented the first public performance or showing of another entity (such as a work, event, or production).
-
E.
countryOfPremiere
Indicates the country in which a work (such as a film, show, or performance) was first publicly premiered.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a012efebda88190a90c8f650e4b1ee9 |
completed | May 11, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_6a01298cc604819087c836659c128926 |
completed | May 11, 2026, 12:57 a.m. |
Created at: May 1, 2026, 1:19 a.m.