Triple
T32523188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister van Justitie |
E831235
|
entity |
| Predicate | correspondingTitleInGerman |
P6492
|
FINISHED |
| Object | Justizminister |
—
|
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: Justizminister | Statement: [Minister van Justitie, correspondingTitleInGerman, Justizminister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondingTitleInGerman Context triple: [Minister van Justitie, correspondingTitleInGerman, Justizminister]
-
A.
hasTitleInGerman
chosen
Indicates that an entity has a specific title or name expressed in the German language.
-
B.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
C.
nameInGerman
Indicates that an entity is known or referred to by a specific name in the German language.
-
D.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
E.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:01 a.m.