Triple
T25912631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Korzenna |
E652936
|
entity |
| Predicate | hasVehicleRegistrationCountry |
P126408
|
FINISHED |
| Object | Poland |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Poland | Statement: [Gmina Korzenna, hasVehicleRegistrationCountry, Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVehicleRegistrationCountry Context triple: [Gmina Korzenna, hasVehicleRegistrationCountry, Poland]
-
A.
countryOfLicence
Indicates the country that has issued or granted a particular licence.
-
B.
countryOfRegistry
Indicates the country in which an entity (such as a ship, aircraft, or company) is officially registered.
-
C.
registrationCountry
Indicates the country in which an entity is officially registered or incorporated.
-
D.
countryVehicleRegistrationSystem
chosen
Indicates a relationship where a country maintains or governs an official system for registering vehicles within its jurisdiction.
-
E.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
- F. None of above.
Provenance (3 batches)
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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 22, 2026, 8:30 a.m.