Triple

T4739238
Position Surface form Disambiguated ID Type / Status
Subject Schibsted E105196 entity
Predicate hasSubsidiary P254 FINISHED
Object VG AS
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.
 E465637 NE FINISHED

How this triple was built (4 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: [Schibsted, hasSubsidiary, VG AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VG AS
Context triple: [Schibsted, hasSubsidiary, VG AS]
  • A. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • B. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • C. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • D. VASU
    VASU is the ICAO airport code for Surat Airport, a domestic airport serving the city of Surat in the Indian state of Gujarat.
  • E. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VG AS
Triple: [Schibsted, hasSubsidiary, VG AS]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VG AS
Target entity description: 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.
  • A. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • B. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • C. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • D. VASU
    VASU is the ICAO airport code for Surat Airport, a domestic airport serving the city of Surat in the Indian state of Gujarat.
  • E. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • F. None of above. chosen

Provenance (5 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6485d690819098dc4a974516da6b completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b8e7ec81908cc1ec9b94a6bee4 completed March 21, 2026, 3:30 a.m.
NEDg Description generation batch_69be1a2de8e08190b26f206434eb9502 completed March 21, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69be1a94d8b8819092f7a273cc19ebe9 completed March 21, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:19 p.m.