Triple
T20314297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB Cargo |
E510339
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | DB Schenker Rail |
—
|
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: DB Schenker Rail | Statement: [DB Cargo, formerName, DB Schenker Rail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DB Schenker Rail Context triple: [DB Cargo, formerName, DB Schenker Rail]
-
A.
DB Schenker
chosen
DB Schenker is a global logistics and freight forwarding company providing land, air, and ocean transport as well as supply chain management services.
-
B.
Rail Cargo Group
Rail Cargo Group is the freight transport and logistics division of the Austrian Federal Railways (ÖBB), providing rail-based cargo services across Europe.
-
C.
DB Cargo AG
DB Cargo AG is the rail freight division of Deutsche Bahn, providing cargo and logistics services across Germany and Europe.
-
D.
SBB Cargo
SBB Cargo is the freight transport division of Switzerland’s national railway company, providing rail logistics and cargo services across Switzerland and into neighboring countries.
-
E.
S7 Cargo
S7 Cargo is the air freight and logistics division of Russia’s S7 Group, providing cargo transportation services on the airline’s route network.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67745e2448190b5611382fe338bb2 |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:19 a.m.