Triple
T875130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verkhovna Rada |
E18899
|
entity |
| Predicate | headOfParliamentTitle |
P3342
|
FINISHED |
| Object | Chairman of the Verkhovna Rada |
—
|
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: Chairman of the Verkhovna Rada | Statement: [Verkhovna Rada, headOfParliamentTitle, Chairman of the Verkhovna Rada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headOfParliamentTitle Context triple: [Verkhovna Rada, headOfParliamentTitle, Chairman of the Verkhovna Rada]
-
A.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
B.
headOfStateTitle
Indicates the official title held by the person who serves as the head of state of a country or political entity.
-
C.
governingHeadTitle
Indicates the official title held by the person who serves as the governing head of an entity (such as a country, organization, or institution).
-
D.
officeHolderTitle
chosen
Indicates the official position or title held by a person in an office or role.
-
E.
headOfOffice
Indicates that one entity serves as the chief or leading authority in charge of a particular office or organizational unit.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acae12948190923d31966c26a130 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.