Triple

T19027167
Position Surface form Disambiguated ID Type / Status
Subject VG AS E465637 entity
Predicate hasOnlinePresence P57 FINISHED
Object vg.no 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.no | Statement: [VG AS, hasOnlinePresence, vg.no]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: vg.no
Context triple: [VG AS, hasOnlinePresence, vg.no]
  • A. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • B. VG chosen
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • C. VG
    VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
  • D. NVO
    NVO is the stock ticker symbol for Novo Nordisk, a global pharmaceutical company best known for its diabetes care products.
  • E. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73dc404819092059e496662d151 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.