Triple
T9590328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimilsungia |
E231398
|
entity |
| Predicate | propagandaCategory |
P20122
|
FINISHED |
| Object | leader eponymous flora |
—
|
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: leader eponymous flora | Statement: [Kimilsungia, propagandaCategory, leader eponymous flora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propagandaCategory Context triple: [Kimilsungia, propagandaCategory, leader eponymous flora]
-
A.
propagandaOrgan
Indicates that one entity functions as a propaganda-producing or propaganda-disseminating organ on behalf of another entity.
-
B.
typeOfPropaganda
chosen
Indicates that one entity is a specific kind or category of propaganda employed or represented by another entity.
-
C.
languageOfPropaganda
Indicates that a particular language is used as the medium or vehicle for disseminating propaganda.
-
D.
usedInPropaganda
Indicates that something is employed as a tool or element within propaganda efforts to influence opinions or behavior.
-
E.
politicalCategory
Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99f32e688190bb13bccfa5031f16 |
completed | April 1, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:06 p.m.