Triple
T22809727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staatsratsvorsitzender |
E564639
|
entity |
| Predicate | VorgängerAmt |
P34201
|
FINISHED |
| Object | Präsident der DDR |
—
|
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: Präsident der DDR | Statement: [Staatsratsvorsitzender, VorgängerAmt, Präsident der DDR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VorgängerAmt Context triple: [Staatsratsvorsitzender, VorgängerAmt, Präsident der DDR]
-
A.
predecessorInOffice
chosen
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
-
B.
previousOffice
Indicates that one office or position was held immediately before another in a sequence of offices.
-
C.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
D.
successorOfficeEstablished
Indicates that a new office or position was formally created to replace or succeed a previous one.
-
E.
predecessorCEO
Indicates that one person previously held the position of CEO before another specific person.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5f1f348190a35e87939732c99f |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.