Triple
T38669604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendiola area |
E940543
|
entity |
| Predicate | typicalProtestIssues |
—
|
GENERATED |
| Object | tuition fee increases |
—
|
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: typicalProtestIssues Context triple: [Mendiola area, typicalProtestIssues, tuition fee increases]
-
A.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
B.
protestFocus
chosen
Indicates that a protest is directed toward, concerned with, or centered on a particular issue, target, or subject.
-
C.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
-
D.
politicalIssueFor
Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
-
E.
socialIssue
Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:33 p.m.