Triple
T37727229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armin Laschet |
E940054
|
entity |
| Predicate | wasChancellorCandidateInElection |
P12344
|
FINISHED |
| Object | 2021 German federal election |
—
|
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: 2021 German federal election | Statement: [Armin Laschet, wasChancellorCandidateInElection, 2021 German federal election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasChancellorCandidateInElection Context triple: [Armin Laschet, wasChancellorCandidateInElection, 2021 German federal election]
-
A.
wasCandidateIn
chosen
Indicates that an entity served as a candidate in a particular election, contest, or selection process.
-
B.
hasChancellor
Indicates that an entity holds the position or role of chancellor for another entity.
-
C.
couldElect
Indicates that one entity has the potential or ability, under certain conditions or rules, to choose another entity for an office, role, or position through an election.
-
D.
chancellorElectionDate
Indicates the date on which a chancellor is elected or formally chosen for office.
-
E.
formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:18 p.m.