Triple
T3707882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communist Party of Peru – Shining Path |
E80935
|
entity |
| Predicate | languageOfPropaganda |
P50927
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Communist Party of Peru – Shining Path, languageOfPropaganda, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPropaganda Context triple: [Communist Party of Peru – Shining Path, languageOfPropaganda, Spanish]
-
A.
typeOfPropaganda
Indicates that one entity is a specific kind or category of propaganda employed or represented by another entity.
-
B.
usedInPropaganda
Indicates that something is employed as a tool or element within propaganda efforts to influence opinions or behavior.
-
C.
propagandaOrgan
Indicates that one entity functions as a propaganda-producing or propaganda-disseminating organ on behalf of another entity.
-
D.
usesPropagandaExtensively
Indicates that an entity systematically employs propaganda as a primary or pervasive tool to influence opinions, beliefs, or behavior.
-
E.
propagandaTermCoinedBy
Indicates that a specific propaganda term was originally created or introduced by a particular agent or source.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc580b08481908391283778d5ce14 |
completed | March 8, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:33 p.m.