Triple
T21657133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 86 |
E534495
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | DB Schenker |
—
|
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 | Statement: [British Rail Class 86, operator, DB Schenker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DB Schenker Context triple: [British Rail Class 86, operator, DB Schenker]
-
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.
Kuehne + Nagel
Kuehne + Nagel is a global logistics and freight forwarding company specializing in sea, air, and contract logistics services.
-
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.
Arvato Supply Chain Solutions
Arvato Supply Chain Solutions is a global logistics and supply chain management provider offering end-to-end services such as warehousing, fulfillment, and distribution for various industries.
-
E.
Schenker AG
Schenker AG is a global logistics and freight forwarding company headquartered in Germany and operating under the DB Schenker brand.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5919c9c88190a2ddcf2cefee79a5 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.