Triple
T25017516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Böhmerwald |
E626178
|
entity |
| Predicate | GermanExonymFor |
P22792
|
FINISHED |
| Object | Bohemian Forest |
—
|
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: Bohemian Forest | Statement: [Böhmerwald, GermanExonymFor, Bohemian Forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GermanExonymFor Context triple: [Böhmerwald, GermanExonymFor, Bohemian Forest]
-
A.
equivalentSurnameInGerman
Indicates that two surnames are equivalent to each other when translated into or represented in the German language.
-
B.
nameInGerman
chosen
Indicates that an entity is known or referred to by a specific name in the German language.
-
C.
hasExonym
Indicates that one entity is known by an alternative name or designation in another language or cultural context.
-
D.
countryNameGerman
Indicates the German-language name used to refer to a given country.
-
E.
GermanNameOfCapital
Indicates that the given name is the German-language name of a specified capital city.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44ba720748190a16124b842247df2 |
completed | May 1, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:06 a.m.