Triple
T38424962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency of Joseph Estrada |
E903330
|
entity |
| Predicate | locationOfOusterProtests |
—
|
GENERATED |
| Object | EDSA Shrine |
—
|
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: locationOfOusterProtests Context triple: [Presidency of Joseph Estrada, locationOfOusterProtests, EDSA Shrine]
-
A.
locationOfNotableProtest
chosen
Indicates the place where a significant or notable protest event occurred.
-
B.
teamDuringProtest
Indicates that two or more entities are part of the same team or organized group specifically in the context of a protest event.
-
C.
numberOfProtesters
Indicates the total count of individuals participating as protesters in a given event or context.
-
D.
protestFocus
Indicates that a protest is directed toward, concerned with, or centered on a particular issue, target, or subject.
-
E.
locationOfAttacksCondemned
Indicates that a specific location is the site of attacks that have been explicitly denounced or condemned.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.