Triple
T1402379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank-Walter Steinmeier |
E31613
|
entity |
| Predicate | servedAsForeignMinisterFrom |
P17837
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Frank-Walter Steinmeier, servedAsForeignMinisterFrom, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsForeignMinisterFrom Context triple: [Frank-Walter Steinmeier, servedAsForeignMinisterFrom, 2005]
-
A.
servedAsForeignSecretaryDuring
Indicates that a person held the position of foreign secretary during a specified time period or under a particular administration.
-
B.
termAsForeignMinisterStart
chosen
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
C.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
D.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
E.
succeededInOfficeAsSecretaryOfStateBy
Indicates that one individual was followed in the role of Secretary of State by another individual, who took over the office after them.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39ef554819096c17bca5891829b |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.