Triple
T38453881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pio Valenzuela |
E912251
|
entity |
| Predicate | afterReturn |
P1691
|
FINISHED |
| Object | entered politics in Bulacan |
—
|
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: entered politics in Bulacan | Statement: [Pio Valenzuela, afterReturn, entered politics in Bulacan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterReturn Context triple: [Pio Valenzuela, afterReturn, entered politics in Bulacan]
-
A.
afterService
Indicates that one event, action, or state occurs subsequent to the completion of a specified service.
-
B.
afterRelease
Indicates that one event, action, or state occurs subsequent to the release of another entity or condition.
-
C.
classAfter
Indicates that one class or course occurs later in time or sequence than another class or course.
-
D.
after
chosen
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
E.
integratedAfter
Indicates that one entity was incorporated, merged, or combined into another only after a specified entity, event, or version had already been integrated.
- F. None of above.
Provenance (3 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:31 p.m.