Triple
T32542813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koningskwestie |
E831755
|
entity |
| Predicate | referendumResultForReturn |
P73195
|
FINISHED |
| Object | about 57 percent in favor |
—
|
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: about 57 percent in favor | Statement: [Koningskwestie, referendumResultForReturn, about 57 percent in favor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referendumResultForReturn Context triple: [Koningskwestie, referendumResultForReturn, about 57 percent in favor]
-
A.
referendumResult
chosen
Indicates the outcome or decision reached by voters in a specific referendum.
-
B.
referendumRequirementOutcome
Indicates the result or status produced by a requirement related to holding or passing a referendum.
-
C.
referendumResultImplemented
Indicates that the outcome of a referendum has been put into effect through concrete actions or legal/administrative measures.
-
D.
referendumResultRemainPercentage
Indicates the percentage of votes in a referendum that were cast in favor of remaining (as opposed to leaving or changing the status quo).
-
E.
referendumRelated
Indicates a relationship where something is connected to, associated with, or arising from a referendum process or its outcomes.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 1, 2026, 1:02 a.m.