Triple
T37248921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einführung des Ewigen Landfriedens |
E923936
|
entity |
| Predicate | betroffenesRechtsgebiet |
P113669
|
FINISHED |
| Object | Öffentliches Recht |
—
|
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: Öffentliches Recht | Statement: [Einführung des Ewigen Landfriedens, betroffenesRechtsgebiet, Öffentliches Recht]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: betroffenesRechtsgebiet Context triple: [Einführung des Ewigen Landfriedens, betroffenesRechtsgebiet, Öffentliches Recht]
-
A.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
B.
juridicalCategory
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical system.
-
C.
appliesToFieldOfLaw
chosen
Indicates that something is relevant or applicable to a particular field or branch of law.
-
D.
affectedJurisdictionOver
Indicates that one entity’s authority, control, or legal power extends over and impacts the jurisdiction of another entity.
-
E.
notableAreaOfLaw
Indicates that a person or entity is particularly recognized or distinguished in a specific field or area of law.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.