Triple
T34439150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Archives of Estonia |
E884049
|
entity |
| Predicate | hasReadingRoomsIn |
—
|
GENERATED |
| Object | Tartu |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReadingRoomsIn Context triple: [National Archives of Estonia, hasReadingRoomsIn, Tartu]
-
A.
hasReadingRoom
Indicates that a place or facility includes a designated reading room area available for use.
-
B.
имеетЧитальныеЗалы
Indicates that an entity possesses or includes one or more reading rooms as part of its facilities.
-
C.
hasReadingRoomType
Indicates that an entity (such as a facility or building) has a specific type or category of reading room.
-
D.
hasReadingRoomCapacity
Indicates the maximum number of people that can be accommodated in a reading room at one time.
-
E.
hasCirculationDesk
Indicates that an entity is equipped with or contains a circulation desk, typically used for managing the lending and return of materials.
- F. None of above. chosen
Provenance (1 batch)
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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2 a.m.