Triple

T5522424
Position Surface form Disambiguated ID Type / Status
Subject Berlin U-Bahn E144841 entity
Predicate hasDepot P2413 FINISHED
Object 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.
 E530783 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: Grunewald depot | Statement: [Berlin U-Bahn, hasDepot, Grunewald depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grunewald depot
Context triple: [Berlin U-Bahn, hasDepot, Grunewald 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. Elsau depot
    Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
  • C. Britz-Süd depot
    Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
  • D. Elfenau depot
    Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
  • E. Cronenbourg depot
    Cronenbourg depot is a major maintenance and storage facility for the Strasbourg tramway network in Strasbourg, France.
  • 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: Grunewald depot
Triple: [Berlin U-Bahn, hasDepot, Grunewald depot]
Generated description
Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grunewald depot
Target entity description: Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
  • 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. Elsau depot
    Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
  • C. Britz-Süd depot
    Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
  • D. Elfenau depot
    Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
  • E. Cronenbourg depot
    Cronenbourg depot is a major maintenance and storage facility for the Strasbourg tramway network in Strasbourg, France.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f73cc8c8190a92a839c1ca804c7 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027f2e98c8190880752c9ae8aba4f completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c04375a6e48190be2ce054fe79f8fc completed March 22, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69c043f987a48190828e012763fa0576 completed March 22, 2026, 7:33 p.m.
Created at: March 22, 2026, 3:34 p.m.