Triple

T20314317
Position Surface form Disambiguated ID Type / Status
Subject DB Cargo E510339 entity
Predicate subsidiary P258 FINISHED
Object DB Cargo Scandinavia 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 Cargo Scandinavia | Statement: [DB Cargo, subsidiary, DB Cargo Scandinavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Cargo Scandinavia
Context triple: [DB Cargo, subsidiary, DB Cargo Scandinavia]
  • A. DB Cargo
    DB Cargo is the rail freight division of Germany’s national railway company, providing cargo transport and logistics services across Europe.
  • B. MEA Cargo
    MEA Cargo is the air freight division of Middle East Airlines, providing cargo transport and logistics services primarily through its operations at Beirut–Rafic Hariri International Airport.
  • C. LOT Cargo
    LOT Cargo is the air freight and cargo handling division of LOT Polish Airlines, providing logistics and cargo transport services on the carrier’s route network.
  • D. Kristiansand–Hirtshals ferry
    The Kristiansand–Hirtshals ferry is a major passenger and vehicle ferry service linking southern Norway with northern Denmark across the Skagerrak.
  • E. DB Cargo AG chosen
    DB Cargo AG is the rail freight division of Deutsche Bahn, providing cargo and logistics services across Germany and 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_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.