Triple

T8866514
Position Surface form Disambiguated ID Type / Status
Subject Schiphol bus station E211031 entity
Predicate servedBy P82 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: [Schiphol bus station, servedBy, GVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GVB
Context triple: [Schiphol bus station, servedBy, 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6106d41081909db710bda8aaf6fd completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:51 p.m.