Triple

T960206
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Sloterdijk E20717 entity
Predicate servedBy P82 FINISHED
Object GVB city buses 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 city buses | Statement: [Amsterdam Sloterdijk, servedBy, GVB city buses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GVB city buses
Context triple: [Amsterdam Sloterdijk, servedBy, GVB city buses]
  • A. GVB chosen
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • B. SL buses
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • C. Trolebús
    Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
  • D. OmniRide bus service
    OmniRide bus service is a public transit system in Northern Virginia that provides local and commuter bus routes connecting suburban communities with major employment and activity centers in the region.
  • E. Metro Bus
    Metro Bus is the primary public bus service network for Los Angeles County, providing extensive local and rapid transit across the 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b412f9f48190be123e8c20f38962 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a3f8c481908f9ed37c44788cb7 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.