Triple
T32883453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovak National Gallery |
E841129
|
entity |
| Predicate | mainBuildingPreviouslyUsedAs |
P55864
|
FINISHED |
| Object | Danube riverside warehouse (Water Barracks) |
—
|
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: Danube riverside warehouse (Water Barracks) | Statement: [Slovak National Gallery, mainBuildingPreviouslyUsedAs, Danube riverside warehouse (Water Barracks)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainBuildingPreviouslyUsedAs Context triple: [Slovak National Gallery, mainBuildingPreviouslyUsedAs, Danube riverside warehouse (Water Barracks)]
-
A.
previousBuildingUse
chosen
Indicates that a building previously served a specified use or function before its current one.
-
B.
hasFormerBuilding
Indicates that an entity previously occupied or used a different building, which is identified as its former building.
-
C.
occupiesFormerBuilding
Indicates that one entity is currently using or located in a building that was previously used or occupied by another entity.
-
D.
homeVenueFormerUse
Indicates that a venue previously served a particular function or hosted a specific type of activity before its current use.
-
E.
buildingUsedSince
Indicates that a particular building has been in use starting from a specified point in time.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:18 a.m.