Triple
T28169842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wopke |
E715425
|
entity |
| Predicate | associatedWithNotableOffice |
P201732
|
FINISHED |
| Object | Dutch national politics (via Wopke Hoekstra) |
—
|
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: Dutch national politics (via Wopke Hoekstra) | Statement: [Wopke, associatedWithNotableOffice, Dutch national politics (via Wopke Hoekstra)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNotableOffice Context triple: [Wopke, associatedWithNotableOffice, Dutch national politics (via Wopke Hoekstra)]
-
A.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
B.
notableOfficeLevel
Indicates that an entity holds or is associated with a notable office or position at a specified hierarchical level.
-
C.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
D.
notableFormerOfficeHolderRole
Indicates that an entity previously held a particular official position or role that is considered notable.
-
E.
associatedWithGovernmentPosition
chosen
Indicates that an entity has a connection or involvement with a governmental role, office, or official position.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a00c8e617548190bba4cdfbb6f512e0 |
completed | May 10, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_6a00c7e816b88190bd40f5ea2a768c8b |
completed | May 10, 2026, 6:01 p.m. |
Created at: April 27, 2026, 10:12 p.m.