Triple
T339151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 Soviet legislative election |
E6793
|
entity |
| Predicate | governmentTypeDuringElection |
P220
|
FINISHED |
| Object | one-party socialist state |
—
|
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: one-party socialist state | Statement: [1989 Soviet legislative election, governmentTypeDuringElection, one-party socialist state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeDuringElection Context triple: [1989 Soviet legislative election, governmentTypeDuringElection, one-party socialist state]
-
A.
governmentFormAfterElection
Indicates the type of government that is established or results following an election.
-
B.
governmentType
chosen
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
C.
electoralSlogan
Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
-
D.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
E.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae3a27c81909fc7deb600125fb1 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95067e88190a914a1c1d0283dfc |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.