Triple
T15589001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karin Keller-Sutter |
E374693
|
entity |
| Predicate | servedAsHeadOfDepartmentOfJusticeAndPoliceUntil |
P119337
|
FINISHED |
| Object | 2022-12-31 |
—
|
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: 2022-12-31 | Statement: [Karin Keller-Sutter, servedAsHeadOfDepartmentOfJusticeAndPoliceUntil, 2022-12-31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsHeadOfDepartmentOfJusticeAndPoliceUntil Context triple: [Karin Keller-Sutter, servedAsHeadOfDepartmentOfJusticeAndPoliceUntil, 2022-12-31]
-
A.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
-
B.
servedAsForeignMinisterUntil
Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
-
C.
servedAsActingComptrollerGeneralUntil
Indicates that a person temporarily held the position of Comptroller General up to a specified end date.
-
D.
servedAsHeadOfTheChancelleryUntil
Indicates that a person held the position of head of the chancellery up to a specified end date or time.
-
E.
succeededBy (as Attorney General)
Indicates that one individual later held the position of Attorney General after another individual, directly following them in that office.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:11 a.m.