Triple
T5208249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavarian State Opera |
E117564
|
entity |
| Predicate | mainBuildingReopened |
P10067
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [Bavarian State Opera, mainBuildingReopened, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainBuildingReopened Context triple: [Bavarian State Opera, mainBuildingReopened, 1963]
-
A.
openedAsCurrentBuilding
Indicates that an entity began operating or was inaugurated in its current building or physical premises.
-
B.
reopenedInNewBuilding
Indicates that an entity, after being closed or relocated, has resumed operations in a different, newly constructed building.
-
C.
mainBuildingName
Indicates the name that is designated as the primary or main building associated with an entity.
-
D.
reopeningDate
chosen
Indicates the date on which something that was previously closed is opened again for use or access.
-
E.
buildingUseAfterClosure
Indicates how a building is used or repurposed after its original function or operation has ceased.
- 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_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. |
Created at: March 20, 2026, 1:47 p.m.