Triple

T18848377
Position Surface form Disambiguated ID Type / Status
Subject Campo Grande (Lisbon) E460975 entity
Predicate servedBy P82 FINISHED
Object Carris urban buses NE NERFINISHED

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: Carris urban buses | Statement: [Campo Grande (Lisbon), servedBy, Carris urban buses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carris urban buses
Context triple: [Campo Grande (Lisbon), servedBy, Carris urban buses]
  • A. Carris trams
    Carris trams are the historic yellow streetcars that form part of Lisbon’s public transport network, operating on several scenic and hilly routes throughout the city.
  • B. Carris bus lines chosen
    Carris bus lines are the public bus services operating in Lisbon, Portugal, connecting neighborhoods such as Graça with the rest of the city.
  • C. Pace Suburban Bus
    Pace Suburban Bus is a public transportation agency serving the suburban areas of the Chicago metropolitan region with bus and paratransit services.
  • D. SL buses
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • E. Movia buses
    Movia buses are the primary public bus network in the Copenhagen region, providing extensive urban and regional transport services that integrate with the city’s metro and rail systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f079b881908759135c5e2619ee completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.