Triple
T35905961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jose Maria Canlas Sison |
E1038471
|
entity |
| Predicate | receivedAsylumIn |
P188477
|
FINISHED |
| Object | Netherlands |
—
|
NE NERFINISHED |
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: Netherlands | Statement: [Jose Maria Canlas Sison, receivedAsylumIn, Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedAsylumIn Context triple: [Jose Maria Canlas Sison, receivedAsylumIn, Netherlands]
-
A.
receivedAsylumFrom
Indicates that one entity was granted asylum or refuge by another entity, typically a state or institution.
-
B.
yearOfAsylum
Indicates the specific year in which an entity was granted or obtained asylum.
-
C.
attemptedToSeekAsylumIn
Indicates that an entity tried, but may not have succeeded, to obtain asylum in a particular place or country.
-
D.
receivedMigrantsFrom
Indicates that one entity has accepted or taken in migrants originating from another entity.
-
E.
soughtAsylumBy
Indicates that one party has requested protection or refuge (asylum) from another authority or country.
- F. None of above. chosen
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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:07 p.m.