Triple
T6257941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byelorussian Soviet Socialist Republic |
E140220
|
entity |
| Predicate | hadGovernmentForm |
P18912
|
FINISHED |
| Object | one-party socialist republic |
—
|
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 republic | Statement: [Byelorussian Soviet Socialist Republic, hadGovernmentForm, one-party socialist republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadGovernmentForm Context triple: [Byelorussian Soviet Socialist Republic, hadGovernmentForm, one-party socialist republic]
-
A.
governmentFormUnder
Indicates that one governmental form or system operates under the authority, framework, or jurisdiction of another governmental form.
-
B.
associatedWithGovernmentForm
chosen
Indicates a relationship in which an entity is linked or connected to a particular form or type of government.
-
C.
hadBusinessForm
Indicates that an entity possessed or utilized a particular business form or organizational structure in the context of its activities or operations.
-
D.
governmentFormCreated
Indicates that one entity established or instituted a particular form or system of government for another entity.
-
E.
enteredGovernment
Indicates that an entity assumed a role or position within a governmental body or institution.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06366baa481908d59428cceabbe46 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.