Triple

T757795
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg U-Bahn E15595 entity
Predicate hasDepot P2413 FINISHED
Object Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
 E91579 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: Fürth depot | Statement: [Nuremberg U-Bahn, hasDepot, Fürth depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fürth depot
Context triple: [Nuremberg U-Bahn, hasDepot, Fürth depot]
  • A. Südkreuz station
    Südkreuz station is a major Berlin transport hub serving regional, long-distance, and S-Bahn trains in the southern part of the city.
  • B. Langwasser depot
    Langwasser depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • C. Akard station
    Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
  • D. Prater
    Prater is a large public park and historic amusement area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and extensive green spaces.
  • E. Fürth Hauptbahnhof
    Fürth Hauptbahnhof is the main railway station of Fürth in Bavaria, Germany, serving as a regional and local transport hub with connections to nearby cities including Nuremberg.
  • 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: Fürth depot
Triple: [Nuremberg U-Bahn, hasDepot, Fürth depot]
Generated description
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fürth depot
Target entity description: Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • A. Südkreuz station
    Südkreuz station is a major Berlin transport hub serving regional, long-distance, and S-Bahn trains in the southern part of the city.
  • B. Langwasser depot
    Langwasser depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • C. Akard station
    Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
  • D. Prater
    Prater is a large public park and historic amusement area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and extensive green spaces.
  • E. Fürth Hauptbahnhof
    Fürth Hauptbahnhof is the main railway station of Fürth in Bavaria, Germany, serving as a regional and local transport hub with connections to nearby cities including Nuremberg.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66c2e108190a754c60d2eac6676 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66673d6288190bb6a68c6c376016e completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a66b18f198819086dac829b8779dfa completed March 3, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69a66b91da5081909963905631641e0f completed March 3, 2026, 5:03 a.m.
Created at: March 1, 2026, 7:37 p.m.