Triple

T14109594
Position Surface form Disambiguated ID Type / Status
Subject DSB E339598 entity
Predicate hasSubsidiary P254 FINISHED
Object DSB Vedligehold 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 Vedligehold | Statement: [DSB, hasSubsidiary, DSB Vedligehold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSB Vedligehold
Context triple: [DSB, hasSubsidiary, DSB Vedligehold]
  • A. 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.
  • B. DSB
    DSB is Norway’s national authority responsible for civil protection, emergency preparedness, and accident prevention.
  • C. DSB chosen
    DSB is Denmark’s national railway company, responsible for operating most passenger train services across the country.
  • D. DBV
    DBV is the IATA airport code for Dubrovnik Airport, the main international gateway serving the coastal city of Dubrovnik in Croatia.
  • E. SDB
    SDB is the post-nominal abbreviation used by members of the Salesians of Don Bosco, a Roman Catholic religious institute dedicated especially to the education and evangelization of youth.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b699108190993f1102418ecff1 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.