Triple

T19026731
Position Surface form Disambiguated ID Type / Status
Subject VG E465627 entity
Predicate hasSubBrand P6092 FINISHED
Object VG Nett 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 Nett | Statement: [VG, hasSubBrand, VG Nett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VG Nett
Context triple: [VG, hasSubBrand, 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 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.
  • 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.