Triple

T10671031
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt public transport network E251484 entity
Predicate primaryOperatorAbbreviation P42458 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: [Frankfurt public transport network, primaryOperatorAbbreviation, VGF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VGF
Context triple: [Frankfurt public transport network, primaryOperatorAbbreviation, 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. 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. 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.
  • D. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • E. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f8648a248190a3bd284c569152e4 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9886e3f108190bb6f17d4e2f394ef completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:09 p.m.