Triple
T7608962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Swiss Confederation |
E172181
|
entity |
| Predicate | typicalSelectionCustom |
P36177
|
FINISHED |
| Object | based on seniority within the Federal Council |
—
|
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: based on seniority within the Federal Council | Statement: [President of the Swiss Confederation, typicalSelectionCustom, based on seniority within the Federal Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSelectionCustom Context triple: [President of the Swiss Confederation, typicalSelectionCustom, based on seniority within the Federal Council]
-
A.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
-
B.
customizableBy
Indicates that one entity can be modified, configured, or tailored in some way by another entity.
-
C.
selectionCharacteristic
chosen
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
-
D.
custom
Indicates that something is specially created, configured, or tailored for a particular purpose, context, or user rather than being standard or generic.
-
E.
typicalCandidate
Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa1f6e888190ac6580724803fbc3 |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.