Triple
T22809733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staatsratsvorsitzender |
E564639
|
entity |
| Predicate | weitereAmtsinhaber |
P8468
|
FINISHED |
| Object | Willi Stoph |
—
|
NE NERFINISHED |
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: Willi Stoph | Statement: [Staatsratsvorsitzender, weitereAmtsinhaber, Willi Stoph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weitereAmtsinhaber Context triple: [Staatsratsvorsitzender, weitereAmtsinhaber, Willi Stoph]
-
A.
governingPeople
Indicates a relationship where one entity holds authority over and exercises control or administration of another group of people.
-
B.
officeHolderMayAlsoBe
Indicates that an individual holding one office or position is permitted or able to simultaneously hold another specified office or position.
-
C.
officeHoldersBelongTo
Indicates that designated office holders are affiliated with or part of a particular organization, institution, or administrative unit.
-
D.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
E.
alsoHoldsOfficeOf
chosen
Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
- 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.