Triple

T22887756
Position Surface form Disambiguated ID Type / Status
Subject Bonn public transport network E567650 entity
Predicate hasLightRailLine P473 FINISHED
Object Line 16 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: Line 16 | Statement: [Bonn public transport network, hasLightRailLine, Line 16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 16
Context triple: [Bonn public transport network, hasLightRailLine, Line 16]
  • A. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • B. Line 16
    Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
  • C. Line 16
    Line 16 is a suburban rapid transit line of the Hangzhou Metro system in Hangzhou, China, connecting the urban network with outlying districts.
  • D. Line 16
    Line 16 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • E. Line 16
    Line 16 is a planned automated metro line in the Grand Paris Express project intended to improve rapid transit connectivity in the eastern suburbs of the Paris metropolitan area.
  • 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: Line 16
Target entity description: Line 16 is a light rail route in the Bonn public transport system that connects the city with surrounding areas as part of its regional tram and Stadtbahn network.
  • A. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • B. Line 16
    Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
  • C. Line 16
    Line 16 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • D. Line 16
    Line 16 is a suburban rapid transit line of the Hangzhou Metro system in Hangzhou, China, connecting the urban network with outlying districts.
  • E. Line 16
    Line 16 is a planned automated metro line in the Grand Paris Express project intended to improve rapid transit connectivity in the eastern suburbs of the Paris metropolitan area.
  • F. None of above. chosen

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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc2adb4819081bce7e6849ba31a completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.