Triple

T3898149
Position Surface form Disambiguated ID Type / Status
Subject Langwasser Süd E90421 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: [Langwasser Süd, fareZone, VGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VGN
Context triple: [Langwasser Süd, 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. B-VG
    B-VG is the commonly used abbreviation for Austria’s Federal Constitutional Law, which forms the core of the country’s constitutional framework.
  • C. VBG
    VBG is the abbreviated name of the German association of botanical gardens, Verband Botanischer Gärten e.V.
  • D. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • E. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd48b208190afaa62975805d087 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337c136c8190ba6ee7789621e41c completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:21 p.m.