Triple
T15697970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal offices of Gdynia |
E380512
|
entity |
| Predicate | isPartOfGovernmentSystem |
P13419
|
FINISHED |
| Object | local government system of Poland |
—
|
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: local government system of Poland | Statement: [municipal offices of Gdynia, isPartOfGovernmentSystem, local government system of Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfGovernmentSystem Context triple: [municipal offices of Gdynia, isPartOfGovernmentSystem, local government system of Poland]
-
A.
isPartOfGovernment
chosen
Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
-
B.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
-
C.
isGovernmentRelated
Indicates that an entity has a direct or significant connection to a government, its agencies, functions, or official activities.
-
D.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
-
E.
isGovernmentFacility
Indicates that the subject entity functions as a facility owned, operated, or officially designated for use by a government or its agencies.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.