Triple
T4620338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Głogów County |
E100961
|
entity |
| Predicate | hasNumberOfUrbanGminas |
P30910
|
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: [Głogów County, hasNumberOfUrbanGminas, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfUrbanGminas Context triple: [Głogów County, hasNumberOfUrbanGminas, 1]
-
A.
hasUrbanGmina
Indicates that an entity is associated with, or contains, an urban gmina (a type of urban municipality or commune).
-
B.
hasUrbanGminaStatus
Indicates that an administrative unit holds the legal status of an urban gmina (urban municipality).
-
C.
hasNumberOfMunicipalities
chosen
Indicates the relationship that specifies how many municipalities are associated with or contained within a given administrative or geographic entity.
-
D.
hasUrbanOkrug
Indicates that an entity is associated with, belongs to, or is administered as an urban okrug (a type of municipal urban district).
-
E.
hasRuralGmina
Indicates that an entity (typically an administrative unit) includes or is associated with a specific rural gmina as part of its jurisdiction or structure.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e560f481908abb1a97b4ff5795 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.