Triple
T33699285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SI-112 (Municipality of Sevnica) |
E863408
|
entity |
| Predicate | hasCountryPrefix |
—
|
GENERATED |
| Object | SI |
—
|
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: hasCountryPrefix Context triple: [SI-112 (Municipality of Sevnica), hasCountryPrefix, SI]
-
A.
hasNumberInCountry
Indicates that an entity possesses or is assigned a specific phone or identification number within a particular country.
-
B.
associatedCountryCodePrefix
chosen
Indicates that one entity has a country code prefix that is associated with, or corresponds to, the other entity.
-
C.
internationalPrefix
Indicates that one entity is the international dialing prefix used to place telephone calls from the other entity’s country to foreign destinations.
-
D.
isCountryCode
Indicates that one entity is a valid country code designating the country represented by the other entity.
-
E.
mobileNumberPrefix
Indicates that one entity is a telephone number prefix associated with, or used to begin, the other entity’s mobile phone numbers.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.