Triple

T22887755
Position Surface form Disambiguated ID Type / Status
Subject Bonn public transport network E567650 entity
Predicate hasTramLine P17788 FINISHED
Object Line 62 — 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 62 | Statement: [Bonn public transport network, hasTramLine, Line 62]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 62
Context triple: [Bonn public transport network, hasTramLine, Line 62]
  • A. 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.
  • B. 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.
  • C. Line 42
    Line 42 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • D. Line 59
    Line 59 is a Belgian railway line that connects the cities of Ghent and Antwerp.
  • E. Line 32
    Line 32 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 62
Target entity description: Line 62 is a tram route within Bonn’s public transport system that serves local passengers along its designated corridor in the city.
  • A. 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.
  • B. 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.
  • C. Line 42
    Line 42 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • D. Line 59
    Line 59 is a Belgian railway line that connects the cities of Ghent and Antwerp.
  • E. Line 32
    Line 32 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.