Triple
T27957392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landesminister |
E703588
|
entity |
| Predicate | kannSein |
P2463
|
FINISHED |
| Object | Staatsminister |
—
|
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: Staatsminister | Statement: [Landesminister, kannSein, Staatsminister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kannSein Context triple: [Landesminister, kannSein, Staatsminister]
-
A.
possiblyBy
Indicates that an action, creation, or effect may have been caused or produced by a particular entity, but this attribution is uncertain or not definitively established.
-
B.
canBe
chosen
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
C.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
D.
possibleJudgment
Indicates a potential or anticipated judgment, decision, or evaluative outcome that could be made about an entity or situation.
-
E.
couldPass
Indicates that one entity had the ability or potential to move through, overcome, or be accepted by another entity or barrier.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:29 p.m.