Triple

T12454563
Position Surface form Disambiguated ID Type / Status
Subject Stadtwerke Verkehrsgesellschaft Frankfurt am Main E297623 entity
Predicate shortName P43 FINISHED
Object VGF E800184 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: VGF | Statement: [Stadtwerke Verkehrsgesellschaft Frankfurt am Main, shortName, VGF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VGF
Context triple: [Stadtwerke Verkehrsgesellschaft Frankfurt am Main, shortName, VGF]
  • A. VGF chosen
    VGF is the municipal public transport operator responsible for running Frankfurt am Main’s urban transit network, including its U-Bahn and tram services.
  • B. VGC
    VGC is a prominent upscale residential and commercial estate located in the Eti-Osa area of Lagos, Nigeria.
  • C. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • D. 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.
  • E. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba170908190b7b52ba3e725ea5e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.