Triple
T36393359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokołów County |
E896392
|
entity |
| Predicate | numberOfUrbanRuralGminas |
P68789
|
FINISHED |
| Object | 1 |
—
|
LITERAL FINISHED |
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: 1 | Statement: [Sokołów County, numberOfUrbanRuralGminas, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUrbanRuralGminas Context triple: [Sokołów County, numberOfUrbanRuralGminas, 1]
-
A.
hasUrbanRuralGminas
chosen
Indicates that an administrative unit (such as a county or region) includes one or more gminas that are classified as mixed urban-rural municipalities.
-
B.
hasUrbanRuralGmina
Indicates that an entity is associated with a specific urban-rural gmina (a mixed urban and rural municipal administrative unit).
-
C.
isRuralUrbanGmina
Indicates that a given administrative district (gmina) is classified as a mixed rural-urban municipality, combining both town and countryside areas.
-
D.
hasNumberOfRuralGminas
Indicates the total count of rural gminas (rural administrative districts) associated with a given territorial unit or entity.
-
E.
hasUrbanGmina
Indicates that an entity is associated with, or contains, an urban gmina (a type of urban municipality or commune).
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.