Triple
T32734704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INTERPOL Secretariat General |
E837042
|
entity |
| Predicate | numberOfMemberCountriesServed |
—
|
GENERATED |
| Object | 195 |
—
|
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: numberOfMemberCountriesServed Context triple: [INTERPOL Secretariat General, numberOfMemberCountriesServed, 195]
-
A.
numberOfRegionalMembers
Indicates the quantity of members associated with or belonging to a specific region within a given context.
-
B.
numberOfMemberStates
Indicates the total count of member states associated with a given entity or organization.
-
C.
hasNumberOfCountries
chosen
Indicates the relationship that specifies how many countries are associated with or contained within a given entity.
-
D.
hasNonRegionalMemberCountries
Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
-
E.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:12 a.m.