Triple
T21605941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Belzig |
E533171
|
entity |
| Predicate | administrativeReformContext |
P117243
|
FINISHED |
| Object | post‑reunification district reform in Brandenburg |
—
|
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: post‑reunification district reform in Brandenburg | Statement: [Kreis Belzig, administrativeReformContext, post‑reunification district reform in Brandenburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeReformContext Context triple: [Kreis Belzig, administrativeReformContext, post‑reunification district reform in Brandenburg]
-
A.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
B.
municipalityReform
Indicates a formal reorganization or restructuring of a municipality’s administrative boundaries, governance, or status.
-
C.
partOfAdministrativeDivisionReform
chosen
Indicates that an entity is involved in, or results from, a reorganization or restructuring of administrative divisions.
-
D.
typeOfReforms
Indicates the specific kinds or categories of reforms associated with an entity or situation.
-
E.
associatedReform
Indicates a relationship where one entity is linked to, connected with, or involved in a particular reform or set of reforms.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e5783481909db36c388f3ae227 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.