Triple
T17425944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berezhany Raion |
E423736
|
entity |
| Predicate | wasPartOfReform |
P24524
|
FINISHED |
| Object | reduction of number of raions in Ternopil Oblast |
—
|
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: reduction of number of raions in Ternopil Oblast | Statement: [Berezhany Raion, wasPartOfReform, reduction of number of raions in Ternopil Oblast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPartOfReform Context triple: [Berezhany Raion, wasPartOfReform, reduction of number of raions in Ternopil Oblast]
-
A.
isPartOfReform
chosen
Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
-
B.
advocatedReformOf
Indicates that one entity publicly supported or promoted changes to another entity, typically aiming to improve or modify its structure, policies, or practices.
-
C.
replacedInReform
Indicates that one entity was substituted or superseded by another as part of a formal reform or restructuring process.
-
D.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
E.
reformInfluencedBy
Indicates that a reform was shaped, guided, or significantly affected by another person, idea, event, or reform.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fbfda88190be1c001d64289bf7 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.