Triple

T21775513
Position Surface form Disambiguated ID Type / Status
Subject Green Cargo E537561 entity
Predicate hasTransportCorridor P3034 FINISHED
Object Sweden–Germany 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: Sweden–Germany | Statement: [Green Cargo, hasTransportCorridor, Sweden–Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweden–Germany
Context triple: [Green Cargo, hasTransportCorridor, Sweden–Germany]
  • A. Germany vs Sweden
    Germany vs Sweden was a dramatic 2018 FIFA World Cup group-stage match in which defending champions Germany secured a last-minute 2–1 victory with a stoppage-time free-kick by Toni Kroos.
  • B. Swedien
    Swedien is the surname of Bruce Swedien, the renowned American audio engineer best known for his work on Michael Jackson’s classic albums.
  • C. Germany–Scandinavia chosen
    Germany–Scandinavia refers to the network of maritime and transport routes linking Germany with the Scandinavian countries across the Baltic and North Seas.
  • D. Sweden–Norway
    Sweden–Norway was a 19th-century political union between the kingdoms of Sweden and Norway under a common monarch, lasting from 1814 to 1905.
  • E. Sweden
    Sweden is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and long-standing policy of neutrality.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.