Triple

T10277880
Position Surface form Disambiguated ID Type / Status
Subject Strandvliet E241015 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: [Strandvliet, operator, GVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GVB
Context triple: [Strandvliet, 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 bus network
    The GVB bus network is Amsterdam’s municipal bus system, providing extensive urban and regional public transport connections throughout the city and surrounding areas.
  • D. 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.
  • E. 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.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29f0cf08190a2c5e7523d5c731e completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8286b1881908b54037d1798f74a completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:37 a.m.