Triple

T15074186
Position Surface form Disambiguated ID Type / Status
Subject SL tramways E379955 entity
Predicate ticketIntegrationWith P8545 FINISHED
Object SL buses E103981 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: SL buses | Statement: [SL tramways, ticketIntegrationWith, SL buses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL buses
Context triple: [SL tramways, ticketIntegrationWith, SL buses]
  • A. SL buses chosen
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • B. RTL buses
    RTL buses are public transit vehicles operated by Réseau de transport de Longueuil serving the South Shore region of Greater Montreal.
  • C. STAR bus network
    The STAR bus network is the primary public bus system serving Rennes and its metropolitan area in France.
  • D. 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.
  • 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 (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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.