Triple
T29382317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSZ |
E745166
|
entity |
| Predicate | hasFullNameInGerman |
P22792
|
FINISHED |
| Object | Ständige Strukturierte Zusammenarbeit in der Verteidigungspolitik |
—
|
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: Ständige Strukturierte Zusammenarbeit in der Verteidigungspolitik | Statement: [SSZ, hasFullNameInGerman, Ständige Strukturierte Zusammenarbeit in der Verteidigungspolitik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullNameInGerman Context triple: [SSZ, hasFullNameInGerman, Ständige Strukturierte Zusammenarbeit in der Verteidigungspolitik]
-
A.
nameInGerman
chosen
Indicates that an entity is known or referred to by a specific name in the German language.
-
B.
equivalentSurnameInGerman
Indicates that two surnames are equivalent to each other when translated into or represented in the German language.
-
C.
hasOfficialLanguageNameInGerman
Indicates that an entity has an official language name expressed specifically in the German language.
-
D.
hasTitleInGerman
Indicates that an entity has a specific title or name expressed in the German language.
-
E.
hasFullNameLanguage
Indicates that the language in which a full name is expressed is associated with that full name.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669cf11688190815f1471a5fde173 |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 2:36 p.m.