Triple
T33533496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Research Tower |
E858858
|
entity |
| Predicate | numberOfOfficeFloors |
—
|
GENERATED |
| Object | 7 |
—
|
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: numberOfOfficeFloors Context triple: [Research Tower, numberOfOfficeFloors, 7]
-
A.
hasOfficeFloors
chosen
Indicates that one entity (typically a building or structure) contains floors that are designated or used as office space.
-
B.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
-
C.
numberOfOffices
Indicates the total count of offices associated with a given entity.
-
D.
numberOfResidentialFloors
Indicates the total count of floors in a building that are designated for residential use.
-
E.
numberOfFloorNames
Indicates the relationship that specifies how many distinct floor names are associated with a given entity.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:39 a.m.