Triple
T38424962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency of Joseph Estrada |
E903330
|
entity |
| Predicate | locationOfOusterProtests |
P3165
|
FINISHED |
| Object | EDSA Shrine |
E261753
|
NE 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: EDSA Shrine | Statement: [Presidency of Joseph Estrada, locationOfOusterProtests, EDSA Shrine]
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 (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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41cca37d4481909e91339248a41f3a |
completed | June 29, 2026, 1:38 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.