Triple

T20753678
Position Surface form Disambiguated ID Type / Status
Subject Greater Suva region E510794 entity
Predicate transport P230 FINISHED
Object Suva bus network NE NERFINISHED

How this triple was built (3 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: Suva bus network | Statement: [Greater Suva region, transport, Suva bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suva bus network
Context triple: [Greater Suva region, transport, Suva bus network]
  • A. Suva Bus Station
    Suva Bus Station is a major public transport hub in Suva, Fiji, serving as the central departure and arrival point for local and regional bus services.
  • B. Auckland bus network
    The Auckland bus network is the primary public transport system of buses serving Auckland, New Zealand, connecting suburbs and key destinations across the city and integrating with other modes like trains and ferries.
  • C. Eshot bus network
    The Eshot bus network is the primary public bus system serving İzmir, Turkey, providing extensive urban and suburban transportation across the metropolitan area.
  • D. Tan bus network
    The Tan bus network is the public transportation system serving the Nantes metropolitan area in western France, operating numerous bus routes that connect surrounding communes such as Saint-Sébastien-sur-Loire.
  • E. Nelson Transit System
    Nelson Transit System is the public bus network serving residents and visitors in and around the city of Nelson in southeastern British Columbia, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suva bus network
Target entity description: The Suva bus network is the primary public transportation system serving Fiji’s capital and its surrounding urban areas, connecting suburbs, commercial centers, and key facilities with frequent, low-cost bus services.
  • A. Suva Bus Station chosen
    Suva Bus Station is a major public transport hub in Suva, Fiji, serving as the central departure and arrival point for local and regional bus services.
  • B. Auckland bus network
    The Auckland bus network is the primary public transport system of buses serving Auckland, New Zealand, connecting suburbs and key destinations across the city and integrating with other modes like trains and ferries.
  • C. Eshot bus network
    The Eshot bus network is the primary public bus system serving İzmir, Turkey, providing extensive urban and suburban transportation across the metropolitan area.
  • D. Tan bus network
    The Tan bus network is the public transportation system serving the Nantes metropolitan area in western France, operating numerous bus routes that connect surrounding communes such as Saint-Sébastien-sur-Loire.
  • E. Nelson Transit System
    Nelson Transit System is the public bus network serving residents and visitors in and around the city of Nelson in southeastern British Columbia, Canada.
  • F. None of above.

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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22d0ebc8190b17077326f540f98 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.