Triple

T6431441
Position Surface form Disambiguated ID Type / Status
Subject Zürich tram network E129786 entity
Predicate hasStop P17789 FINISHED
Object Klusplatz tram stop
Klusplatz tram stop is a public transport stop in Zürich, Switzerland, serving as a local hub on the city’s tram network.
 E591850 NE FINISHED

How this triple was built (4 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: Klusplatz tram stop | Statement: [Zürich tram network, hasStop, Klusplatz tram stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klusplatz tram stop
Context triple: [Zürich tram network, hasStop, Klusplatz tram stop]
  • A. Benchill tram stop
    Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
  • B. Steintor tram stop
    Steintor tram stop is a public tram station in Hanover, Germany, serving as a key transit point near the Gehry Tower and the city center.
  • C. Ljabru tram stop
    Ljabru tram stop is a light rail terminus on the Oslo Tramway network serving the Ljabru area in Oslo, Norway.
  • D. Velopark tram stop
    Velopark tram stop is a Manchester Metrolink light-rail stop serving the Velopark and surrounding area in east Manchester, England.
  • E. Grefsen tram depot
    Grefsen tram depot is a major maintenance and storage facility for Oslo’s tram network, serving as one of the key operational hubs for the city’s trams.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Klusplatz tram stop
Triple: [Zürich tram network, hasStop, Klusplatz tram stop]
Generated description
Klusplatz tram stop is a public transport stop in Zürich, Switzerland, serving as a local hub on the city’s tram network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klusplatz tram stop
Target entity description: Klusplatz tram stop is a public transport stop in Zürich, Switzerland, serving as a local hub on the city’s tram network.
  • A. Benchill tram stop
    Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
  • B. Steintor tram stop
    Steintor tram stop is a public tram station in Hanover, Germany, serving as a key transit point near the Gehry Tower and the city center.
  • C. Ljabru tram stop
    Ljabru tram stop is a light rail terminus on the Oslo Tramway network serving the Ljabru area in Oslo, Norway.
  • D. Velopark tram stop
    Velopark tram stop is a Manchester Metrolink light-rail stop serving the Velopark and surrounding area in east Manchester, England.
  • E. Grefsen tram depot
    Grefsen tram depot is a major maintenance and storage facility for Oslo’s tram network, serving as one of the key operational hubs for the city’s trams.
  • F. None of above. chosen

Provenance (5 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693cadf08190aca84888a3440b3d completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e9ae8481909229bcf6d5e793d3 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c641ff05c08190ab9526b095b038fa completed March 27, 2026, 8:38 a.m.
NED2 Entity disambiguation (via description) batch_69c642a344e48190bccb0f0d122fca4c completed March 27, 2026, 8:41 a.m.
Created at: March 22, 2026, 4:44 p.m.