Triple

T14056676
Position Surface form Disambiguated ID Type / Status
Subject Metro Service A/S E338236 entity
Predicate collaboratesWith P37 FINISHED
Object DSB E339598 NE FINISHED

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: DSB | Statement: [Metro Service A/S, collaboratesWith, DSB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSB
Context triple: [Metro Service A/S, collaboratesWith, DSB]
  • A. DSB
    DSB is Norway’s national authority responsible for civil protection, emergency preparedness, and accident prevention.
  • B. DSB
    DSB is the commonly used abbreviation for the World Trade Organization’s Dispute Settlement Body, which oversees the resolution of trade disputes between member countries.
  • C. DSB chosen
    DSB is Denmark’s national railway company, responsible for operating most passenger train services across the country.
  • D. DAB
    DAB is a senior-level U.S. Department of Defense committee that reviews and approves major defense acquisition programs and policies.
  • E. DAB
    DAB is the three-letter IATA airport code for Daytona Beach International Airport in Daytona Beach, Florida.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09b7d148190ad9a146121be01f8 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.