Triple
T36813979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deputy Assistant Secretary of State |
E909672
|
entity |
| Predicate | typicalNumberPerBureau |
—
|
GENERATED |
| Object | multiple |
—
|
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: typicalNumberPerBureau Context triple: [Deputy Assistant Secretary of State, typicalNumberPerBureau, multiple]
-
A.
numberOfBanks
Indicates the quantity or count of banks associated with a given entity or context.
-
B.
hasNumberOfAgencies
Indicates the quantity of agencies associated with or linked to a given entity.
-
C.
sectorCountApprox
Indicates that the number of sectors involved is an approximate or estimated count rather than an exact value.
-
D.
numberPerCounty
Indicates the quantity or count of something associated with each individual county.
-
E.
numberOfTargetInstitutions
Indicates the count of institutions that are designated or identified as targets in a given context or dataset.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.