Triple
T5208258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavarian State Opera |
E117564
|
entity |
| Predicate | mainVenueOpened |
P62025
|
FINISHED |
| Object | 1818 |
—
|
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: 1818 | Statement: [Bavarian State Opera, mainVenueOpened, 1818]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainVenueOpened Context triple: [Bavarian State Opera, mainVenueOpened, 1818]
-
A.
homeVenueOpened
Indicates that a venue has officially begun operating as the designated home location for a particular team or organization.
-
B.
culturalCenterOpened
Indicates that a cultural center has begun operating or officially opened at a certain time or place.
-
C.
openedAsSportsVenue
Indicates that a place or facility began its operation specifically for hosting sports events or activities.
-
D.
closedVenue
Indicates that a venue is not open or available for use during a given time or event.
-
E.
arenaOpened
Indicates that an arena has officially begun operations or become available for use from a specific opening time or date.
- F. None of above. chosen
Provenance (4 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79000cf88190b3c05d95395b0cd2 |
completed | March 20, 2026, 4:42 p.m. |
Created at: March 20, 2026, 1:47 p.m.