Triple
T17546652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn Berlin GmbH |
E427342
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | DB Regio AG |
E1196285
|
NE FINISHED |
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: DB Regio AG | Statement: [S-Bahn Berlin GmbH, partOf, DB Regio AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DB Regio AG Context triple: [S-Bahn Berlin GmbH, partOf, DB Regio AG]
-
A.
DB Regio AG
chosen
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.
-
B.
DB Cargo AG
DB Cargo AG is the rail freight division of Deutsche Bahn, providing cargo and logistics services across Germany and Europe.
-
C.
Basler Verkehrs-Betriebe
Basler Verkehrs-Betriebe is the main public transport company of Basel, Switzerland, operating the city’s tram and bus services.
-
D.
MTR GmbH
MTR GmbH is an international joint venture company that designs, develops, and supports turboshaft engines for military helicopters.
-
E.
DB Station&Service AG
DB Station&Service AG is a subsidiary of Deutsche Bahn responsible for managing and operating railway stations across Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454626cfc8190a2602ba4934b8e6d |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d28d08ac8190aa60b1389892aeae |
completed | May 11, 2026, 12:58 p.m. |
Created at: April 10, 2026, 5:49 a.m.