Triple

T19026700
Position Surface form Disambiguated ID Type / Status
Subject VG E465627 entity
Predicate publisher P29 FINISHED
Object VG AS 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: VG AS | Statement: [VG, publisher, VG AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VG AS
Context triple: [VG, publisher, VG AS]
  • A. VG AS chosen
    VG AS is a Norwegian media company best known for publishing Verdens Gang (VG), one of Norway’s largest and most influential newspapers and news websites.
  • B. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • C. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • D. VG
    VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
  • E. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73cace0819096bdac6dc8c17253 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.