Triple
T19394919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rail Cargo Group |
E485161
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Rail Cargo Group |
—
|
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: Rail Cargo Group | Statement: [Rail Cargo Group, hasBrand, Rail Cargo Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rail Cargo Group Context triple: [Rail Cargo Group, hasBrand, Rail Cargo Group]
-
A.
Rail Cargo Group
chosen
Rail Cargo Group is the freight transport and logistics division of the Austrian Federal Railways (ÖBB), providing rail-based cargo services across Europe.
-
B.
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.
-
C.
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.
-
D.
DB Cargo AG
DB Cargo AG is the rail freight division of Deutsche Bahn, providing cargo and logistics services across Germany and Europe.
-
E.
Deutsche Bahn
Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b47630881909ba390888b8779f6 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.