Triple

T13800413
Position Surface form Disambiguated ID Type / Status
Subject Gothenburg Central Station E331623 entity
Predicate hasService P182 FINISHED
Object SJ E462906 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: SJ | Statement: [Gothenburg Central Station, hasService, SJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SJ
Context triple: [Gothenburg Central Station, hasService, SJ]
  • A. SJ chosen
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • B. SJ
    SJ is the vehicle registration code used on license plates for cars registered in Jaworzno, Poland.
  • C. SJ
    SJ is the IATA airline designator assigned to Sriwijaya Air, an Indonesian commercial airline.
  • D. S.J.
    S.J. is the standard post-nominal abbreviation used to designate members of the Catholic religious order known as the Society of Jesus, or the Jesuits.
  • E. 4SJ
    4SJ is the nickname of Forrest J Ackerman, the influential science fiction fan, editor, and literary agent often called the "Father of Science Fiction."
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0893a20819081d4001b8dbc9c36 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.