Triple
T10408720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post-Soviet states |
E245331
|
entity |
| Predicate | hasCommonTransitionProcess |
P1410
|
FINISHED |
| Object | post-communist transition |
—
|
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: post-communist transition | Statement: [Post-Soviet states, hasCommonTransitionProcess, post-communist transition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonTransitionProcess Context triple: [Post-Soviet states, hasCommonTransitionProcess, post-communist transition]
-
A.
isTransitionalBetween
Indicates that something serves as an intermediate or bridging state, form, or phase between two other distinct states, forms, or phases.
-
B.
hasParallelTransit
Indicates that one transit route, service, or segment runs in parallel to another along a similar path or corridor.
-
C.
supportsTransitionTo
Indicates that one state, condition, or entity enables or is compatible with moving or changing to another state, condition, or entity.
-
D.
hasTransformation
Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
-
E.
hasProcess
chosen
Indicates that an entity is associated with, participates in, or is characterized by a particular process.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:09 p.m.