Triple
T28745574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinrich Tessenow Medal |
E731361
|
entity |
| Predicate | hasAwardNameInGerman |
P22792
|
FINISHED |
| Object | Heinrich-Tessenow-Medaille |
—
|
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: Heinrich-Tessenow-Medaille | Statement: [Heinrich Tessenow Medal, hasAwardNameInGerman, Heinrich-Tessenow-Medaille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardNameInGerman Context triple: [Heinrich Tessenow Medal, hasAwardNameInGerman, Heinrich-Tessenow-Medaille]
-
A.
awardNameLanguage
Indicates the language in which the name of an award is expressed.
-
B.
hasAwardNameForm
Indicates that an award is associated with a specific textual or formal representation of its name.
-
C.
hasTitleInGerman
Indicates that an entity has a specific title or name expressed in the German language.
-
D.
nameInGerman
chosen
Indicates that an entity is known or referred to by a specific name in the German language.
-
E.
hasOfficialLanguageNameInGerman
Indicates that an entity has an official language name expressed specifically in the German language.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657b785b48190a407623cd49fe4cc |
completed | May 2, 2026, 7:59 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 6:05 a.m.