Triple
T38323465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Quarter Storm protests |
E1036718
|
entity |
| Predicate | languageOfProtests |
—
|
GENERATED |
| Object | Filipino |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfProtests Context triple: [First Quarter Storm protests, languageOfProtests, Filipino]
-
A.
hasLanguageOfProtest
chosen
Indicates that an entity expresses or embodies a language, style, or discourse of protest in relation to another entity or context.
-
B.
languageOfPropaganda
Indicates that a particular language is used as the medium or vehicle for disseminating propaganda.
-
C.
languageOfPoliticalContext
Indicates the language in which a given political context, discourse, or situation is expressed or conducted.
-
D.
languageOfCampaigning
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
E.
languageOfPetition
Indicates the language in which a petition is written, submitted, or officially recorded.
- F. None of above.
Provenance (1 batch)
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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:30 p.m.