Triple

T7440962
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro M5 series E171751 entity
Predicate operator P179 FINISHED
Object GVB E28406 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: GVB | Statement: [Amsterdam Metro M5 series, operator, GVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GVB
Context triple: [Amsterdam Metro M5 series, operator, GVB]
  • A. GVB chosen
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • B. GVB Amsterdam
    GVB Amsterdam is the primary public transport operator in Amsterdam, running the city’s trams, buses, metros, and ferries.
  • C. GVB Tram
    GVB Tram is the tram network operated by Amsterdam’s municipal public transport company, providing urban rail services throughout the city and surrounding areas.
  • D. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • E. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34d84008190936af2b3670ef210 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827976b9081909ac722b397ae0d97 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.