Triple
T20481924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB Class 430 |
E502475
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Deutsche Bahn AG |
—
|
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: Deutsche Bahn AG | Statement: [DB Class 430, owner, Deutsche Bahn AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deutsche Bahn AG Context triple: [DB Class 430, owner, Deutsche Bahn AG]
-
A.
Deutsche Bahn
chosen
Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
-
B.
Deutsche Bundesbahn
Deutsche Bundesbahn was the state-owned railway company of West Germany, responsible for operating the country’s national rail services from 1949 until its reorganization into Deutsche Bahn in the 1990s.
-
C.
Deutsche Reichsbahn
Deutsche Reichsbahn was the state-owned railway company of Germany for much of the 20th century, operating the national rail network before its functions were absorbed into the modern Deutsche Bahn.
-
D.
DB Regio AG
DB Regio AG is a major German railway company that operates regional and local passenger train services across Germany as part of the Deutsche Bahn Group.
-
E.
MTR GmbH
MTR GmbH is an international joint venture company that designs, develops, and supports turboshaft engines for military helicopters.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.