Triple

T6431461
Position Surface form Disambiguated ID Type / Status
Subject Zürich tram network E129786 entity
Predicate hasDepot P2413 FINISHED
Object Irchel tram depot
Irchel tram depot is a tram maintenance and storage facility in Zürich that serves part of the city’s urban tram network.
 E591860 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: Irchel tram depot | Statement: [Zürich tram network, hasDepot, Irchel tram depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irchel tram depot
Context triple: [Zürich tram network, hasDepot, Irchel tram depot]
  • A. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • B. Grunewald depot
    Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
  • C. Wola tram depot
    Wola tram depot is a major tram maintenance and storage facility serving the public transport network in Warsaw, Poland.
  • D. 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.
  • E. Stonebridge Park depot
    Stonebridge Park depot is a London Underground maintenance and stabling facility serving trains on the Bakerloo line.
  • 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: Irchel tram depot
Triple: [Zürich tram network, hasDepot, Irchel tram depot]
Generated description
Irchel tram depot is a tram maintenance and storage facility in Zürich that serves part of the city’s urban tram network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irchel tram depot
Target entity description: Irchel tram depot is a tram maintenance and storage facility in Zürich that serves part of the city’s urban tram network.
  • A. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • B. Grunewald depot
    Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
  • C. Wola tram depot
    Wola tram depot is a major tram maintenance and storage facility serving the public transport network in Warsaw, Poland.
  • D. 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.
  • E. Stonebridge Park depot
    Stonebridge Park depot is a London Underground maintenance and stabling facility serving trains on the Bakerloo line.
  • 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.