Triple
T1270862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutte III cabinet |
E15704
|
entity |
| Predicate | resignationReason |
P15987
|
FINISHED |
| Object | childcare benefits scandal |
—
|
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: childcare benefits scandal | Statement: [Rutte III cabinet, resignationReason, childcare benefits scandal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resignationReason Context triple: [Rutte III cabinet, resignationReason, childcare benefits scandal]
-
A.
reasonForLeaving
chosen
Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
-
B.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
C.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
-
E.
reasonForWithdrawal
Indicates the cause, motive, or circumstance that explains why a withdrawal occurred.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.