Triple
T8591210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Police of Ukraine |
E203430
|
entity |
| Predicate | reformTarget |
P72107
|
FINISHED |
| Object | demilitarization of police |
—
|
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: demilitarization of police | Statement: [National Police of Ukraine, reformTarget, demilitarization of police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformTarget Context triple: [National Police of Ukraine, reformTarget, demilitarization of police]
-
A.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
B.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
C.
reformsBy
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
-
D.
goalOfReforms
Indicates that a reform or set of reforms is undertaken with the aim or intended objective of achieving a particular outcome.
-
E.
seeksToReform
chosen
Indicates an entity’s intention or effort to change an existing system, practice, or condition in order to improve or correct it.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.