Triple
T15589003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karin Keller-Sutter |
E374693
|
entity |
| Predicate | servedAsPresidentOfTheConfederationInYear |
P93737
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [Karin Keller-Sutter, servedAsPresidentOfTheConfederationInYear, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsPresidentOfTheConfederationInYear Context triple: [Karin Keller-Sutter, servedAsPresidentOfTheConfederationInYear, 2023]
-
A.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
B.
wasFirstPresidentAfter
Indicates that one entity served as the first president immediately following another specified entity.
-
C.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
D.
servedAsVicePresidentFrom
Indicates that one entity held the position of vice president for another entity during a specified time period.
-
E.
wasPresidentInYear
chosen
Indicates that a person held the office of president during a specified year.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.