Triple
T32304683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treuhandanstalt |
E825330
|
entity |
| Predicate | numberOfEnterprisesManaged |
—
|
GENERATED |
| Object | over 8000 |
—
|
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: numberOfEnterprisesManaged Context triple: [Treuhandanstalt, numberOfEnterprisesManaged, over 8000]
-
A.
hasNumberOfCompanies
chosen
Indicates the quantitative relationship specifying how many companies are associated with a given entity.
-
B.
hasNumberOfBusinessUnits
Indicates the specific count of business units associated with an entity.
-
C.
sectorManaged
Indicates that one entity is responsible for administering, overseeing, or directing the operations of a particular sector.
-
D.
numberOfPropertiesManaged
Indicates the total count of properties that an entity is responsible for managing.
-
E.
hasNumberOfAgencies
Indicates the quantity of agencies associated with or linked to 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:45 a.m.