Triple
T2846405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Popular Culture |
E62993
|
entity |
| Predicate | applied |
P4794
|
FINISHED |
| Object | state censorship |
—
|
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: state censorship | Statement: [Ministry of Popular Culture, applied, state censorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applied Context triple: [Ministry of Popular Culture, applied, state censorship]
-
A.
appliedAs
Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
-
B.
appliedBy
chosen
Indicates that an action, process, or treatment is carried out or executed by a particular agent or entity.
-
C.
standardApplied
Indicates that a particular standard, rule, or guideline has been put into effect or used as the basis for an action or decision in the relationship.
-
D.
misappliedAs
Indicates that something has been used, interpreted, or assigned in an incorrect, inappropriate, or unintended way.
-
E.
appliedBecauseOf
Indicates that one entity is applied, used, or enacted as a consequence or result of another specified cause or condition.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3d00708190966a477fdd855f23 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.