Triple

T22887759
Position Surface form Disambiguated ID Type / Status
Subject Bonn public transport network E567650 entity
Predicate hasLightRailLine P473 FINISHED
Object Line 66 — 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 66 | Statement: [Bonn public transport network, hasLightRailLine, Line 66]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 66
Context triple: [Bonn public transport network, hasLightRailLine, Line 66]
  • A. Line 60
    Line 60 is the Budapest Cog-wheel Railway, a historic rack railway line in Budapest that connects the city’s hilly residential areas with the rest of the urban transport network.
  • B. Line 60
    Line 60 is a railway line in Luxembourg that connects Luxembourg City with the southern industrial region, including towns such as Esch-sur-Alzette and Dudelange.
  • C. Line 59
    Line 59 is a Belgian railway line that connects the cities of Ghent and Antwerp.
  • D. Line 46
    Line 46 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • E. Line 44
    Line 44 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • 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 66
Target entity description: Line 66 is a major light rail route in Bonn’s public transport system, connecting key districts and serving as an important commuter corridor in the region.
  • A. Line 60
    Line 60 is the Budapest Cog-wheel Railway, a historic rack railway line in Budapest that connects the city’s hilly residential areas with the rest of the urban transport network.
  • B. Line 60
    Line 60 is a railway line in Luxembourg that connects Luxembourg City with the southern industrial region, including towns such as Esch-sur-Alzette and Dudelange.
  • C. Line 59
    Line 59 is a Belgian railway line that connects the cities of Ghent and Antwerp.
  • D. Line 46
    Line 46 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • E. Line 44
    Line 44 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • 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.