Triple
T20810170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zduńska Wola County |
E512275
|
entity |
| Predicate | gminaTypePresent |
P86731
|
FINISHED |
| Object | urban gmina |
—
|
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: urban gmina | Statement: [Zduńska Wola County, gminaTypePresent, urban gmina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gminaTypePresent Context triple: [Zduńska Wola County, gminaTypePresent, urban gmina]
-
A.
gminaType
chosen
Indicates the administrative classification or type of a gmina (municipality) within an administrative hierarchy.
-
B.
hasGmina
Indicates that an entity is administratively associated with, or belongs to, a specific gmina (a basic local government unit/municipality).
-
C.
hasGminaStatus
Indicates that an administrative unit holds the official legal status of a gmina (municipality/commune) within a country’s territorial division.
-
D.
hasUrbanRuralGmina
Indicates that an entity is associated with a specific urban-rural gmina (a mixed urban and rural municipal administrative unit).
-
E.
hasMunicipalityType
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d27a4881908b34679385d8b94b |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:40 p.m.