Triple
T38453876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pio Valenzuela |
E912251
|
entity |
| Predicate | descriptionOfEvent |
P13178
|
FINISHED |
| Object | Visited José Rizal in Dapitan to consult about the planned revolution |
—
|
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: Visited José Rizal in Dapitan to consult about the planned revolution | Statement: [Pio Valenzuela, descriptionOfEvent, Visited José Rizal in Dapitan to consult about the planned revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: descriptionOfEvent Context triple: [Pio Valenzuela, descriptionOfEvent, Visited José Rizal in Dapitan to consult about the planned revolution]
-
A.
eventDescription
chosen
Indicates that a textual summary or explanation is provided describing what happens in the event.
-
B.
basedOnEventsDescribedIn
Indicates that something is derived from, inspired by, or constructed using the events described in another source.
-
C.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
D.
narrativeDescription
Indicates that one entity provides a textual or spoken account describing the events, context, or details related to another entity.
-
E.
storylineEvent
Indicates that one event occurs as a distinct step or component within a larger narrative or storyline.
- 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_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:31 p.m.