Triple
T30783639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Jeziorany authorities |
E783893
|
entity |
| Predicate | typeOfGmina |
P86731
|
FINISHED |
| Object | urban-rural 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-rural gmina | Statement: [Gmina Jeziorany authorities, typeOfGmina, urban-rural gmina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGmina Context triple: [Gmina Jeziorany authorities, typeOfGmina, urban-rural 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.
isRuralUrbanGmina
Indicates that a given administrative district (gmina) is classified as a mixed rural-urban municipality, combining both town and countryside areas.
-
D.
hasUrbanRuralGmina
Indicates that an entity is associated with a specific urban-rural gmina (a mixed urban and rural municipal administrative unit).
-
E.
hasGminaStatus
Indicates that an administrative unit holds the official legal status of a gmina (municipality/commune) within a country’s territorial division.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: April 29, 2026, 8:41 p.m.