Triple
T64047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Secretary of the Communist Party of the Soviet Union |
E1272
|
entity |
| Predicate | exOfficioControls |
P3711
|
FINISHED |
| Object | Soviet state apparatus |
—
|
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: Soviet state apparatus | Statement: [General Secretary of the Communist Party of the Soviet Union, exOfficioControls, Soviet state apparatus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exOfficioControls Context triple: [General Secretary of the Communist Party of the Soviet Union, exOfficioControls, Soviet state apparatus]
-
A.
ranForOffice
Indicates that an entity was a candidate seeking election to a public or organizational office.
-
B.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
-
C.
limitsOffice
Indicates that one entity imposes a restriction or cap on the scope, duration, or powers of another entity’s office or official position.
-
D.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
E.
affectsOffice
Indicates that one entity has an influence or impact on the condition, function, or status of an office.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea3c44081908fa3856969881d1f |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a24fcf5a88819088c5fa4c08476358 |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.