Triple
T19788621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berger |
E475344
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Бергер |
—
|
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: Бергер | Statement: [Berger, hasTransliteration, Бергер]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Бергер Context triple: [Berger, hasTransliteration, Бергер]
-
A.
Berger
chosen
Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
-
B.
Berger
Berger is a small settlement located within the municipality of Nesodden in Norway.
-
C.
Duttweiler
Duttweiler is a village and local district (Ortsteil) of Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of Germany.
-
D.
Biewer
Biewer is a district of the German city of Trier, located along the Moselle River in the state of Rhineland-Palatinate.
-
E.
Rednitz
The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389c9ac81909e61b3cbb9213e72 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.