Triple
T23406084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Union |
E559936
|
entity |
| Predicate | hadConstituentRepublic |
P152138
|
FINISHED |
| Object | Russian SFSR |
—
|
NE NERFINISHED |
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: Russian SFSR | Statement: [Soviet Union, hadConstituentRepublic, Russian SFSR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadConstituentRepublic Context triple: [Soviet Union, hadConstituentRepublic, Russian SFSR]
-
A.
earlierConstituentRepublic
Indicates that one entity was a constituent republic of a larger political unit at an earlier time than the other entity.
-
B.
numberOfConstituentRepublics
Indicates the total count of constituent republics that make up a larger political or administrative entity.
-
C.
hadAutonomousRepublics
Indicates that an entity possessed one or more autonomous republics as subordinate political or administrative units within its jurisdiction.
-
D.
hasNumberOfConstituentColonies
Indicates the quantitative count of individual colonies that together form a larger composite entity.
-
E.
ethnicRepublic
Indicates that a political or administrative unit is constituted as a republic defined primarily by the ethnicity of its dominant or titular population.
- F. None of above. chosen
Provenance (4 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e364548190b98dc09240fba58e |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:38 p.m.