Triple

T17127591
Position Surface form Disambiguated ID Type / Status
Subject Nürnberg-Steinbühl station E415637 entity
Predicate fareZone P844 FINISHED
Object VGN E90420 NE FINISHED

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: VGN | Statement: [Nürnberg-Steinbühl station, fareZone, VGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VGN
Context triple: [Nürnberg-Steinbühl station, fareZone, VGN]
  • A. VGN chosen
    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.
  • B. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • C. VNG
    VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
  • D. VGF
    VGF is the municipal public transport operator responsible for running Frankfurt am Main’s urban transit network, including its U-Bahn and tram services.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f027a3d081908fc1134b50db3d45 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a145e7481909242aab69baeb7a0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.