Triple

T19027143
Position Surface form Disambiguated ID Type / Status
Subject VG AS E465637 entity
Predicate publisherOf P1760 FINISHED
Object VG Nett
VG Nett is a major Norwegian online news portal associated with the tabloid newspaper Verdens Gang (VG).
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 Nett | Statement: [VG AS, publisherOf, VG Nett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VG Nett
Context triple: [VG AS, publisherOf, VG Nett]
  • A. VNG
    VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
  • B. 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.
  • C. 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.
  • D. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • E. VGEG
    VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
  • 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 Nett
Triple: [VG AS, publisherOf, VG Nett]
Generated description
VG Nett is a major Norwegian online news portal associated with the tabloid newspaper Verdens Gang (VG).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VG Nett
Target entity description: VG Nett is a major Norwegian online news portal associated with the tabloid newspaper Verdens Gang (VG).
  • A. VNG
    VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
  • B. 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.
  • C. 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.
  • D. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • E. VGEG
    VGEG is the ICAO airport code for Shah Amanat International Airport in Chittagong, Bangladesh.
  • F. None of above.

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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73dc404819092059e496662d151 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c545b5f8819096301f25fc1d7a75 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c7b340f0819089dbbd5a6b319f25 completed May 14, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a05c812eba081909a0fcb9dbadbb428 completed May 14, 2026, 1:03 p.m.
Created at: April 10, 2026, 12:02 p.m.