Triple
T6669821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish local government reforms of 1998 |
E151696
|
entity |
| Predicate | transferredCompetencesFrom |
P4781
|
FINISHED |
| Object | central government |
—
|
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: central government | Statement: [Polish local government reforms of 1998, transferredCompetencesFrom, central government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferredCompetencesFrom Context triple: [Polish local government reforms of 1998, transferredCompetencesFrom, central government]
-
A.
transferredPersonnelTo
Indicates that one entity moved or reassigned personnel from itself to another entity.
-
B.
transferredFunctionsFrom
chosen
Indicates that certain roles, duties, or responsibilities were moved from one entity to another.
-
C.
transferredPromotionalFunctionsTo
Indicates that one entity moved or reassigned its promotional responsibilities, duties, or activities to another entity.
-
D.
technologyTransferFrom
Indicates that knowledge, methods, or technology are being transferred or shared from one entity to another.
-
E.
seeTransferredFrom
Indicates that something is observed or recorded as having been moved or conveyed from a specific source entity to another context or location.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:02 p.m.