Triple

T6258882
Position Surface form Disambiguated ID Type / Status
Subject Trångsund E140243 entity
Predicate publicTransport P1288 FINISHED
Object SL bus network 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 bus network | Statement: [Trångsund, publicTransport, SL bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL bus network
Context triple: [Trångsund, publicTransport, SL bus network]
  • A. SL buses chosen
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • B. STM bus network
    The STM bus network is the extensive system of urban bus routes serving neighborhoods across the island of Montreal as part of the city’s public transit infrastructure.
  • C. SMART bus network
    The SMART bus network is a regional public transit system serving the Detroit metropolitan area with fixed-route and paratransit bus services across multiple suburban communities.
  • D. TheBus network
    TheBus network is the public bus transportation system serving the island of Oʻahu in Honolulu County, Hawaiʻi.
  • E. SL public transport network
    The SL public transport network is the integrated system of buses, metro, commuter trains, trams, and ferries serving the greater Stockholm region in Sweden.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06367e0b48190967ebfb9bfbc9732 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24444b85c8190adf09c473b42ea9b completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:24 p.m.