Triple
T33473663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Centenary Library |
E857261
|
entity |
| Predicate | hasReadingSeats |
—
|
GENERATED |
| Object | approximately 1250 |
—
|
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: hasReadingSeats Context triple: [Anna Centenary Library, hasReadingSeats, approximately 1250]
-
A.
hasSeating
chosen
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
B.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for another entity.
-
C.
hasReservedSeats
Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
-
D.
hasSeatBuilding
Indicates that a seat (or seating area) is located within or belongs to a particular building.
-
E.
hasFlexibleSeating
Indicates that an entity provides seating arrangements that can be easily rearranged, adjusted, or reconfigured to suit different uses or preferences.
- F. None of above.
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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:37 a.m.