Triple

T757768
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg U-Bahn E15595 entity
Predicate hasLine P35 FINISHED
Object U3
U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
 E91577 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: U3 | Statement: [Nuremberg U-Bahn, hasLine, U3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U3
Context triple: [Nuremberg U-Bahn, hasLine, U3]
  • A. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • B. UB
    UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
  • C. The U
    The U is the widely recognized nickname and athletic brand of the University of Miami, especially associated with its prominent Hurricanes sports programs.
  • D. The U
    The U is the popular nickname of the Philadelphia Union, a professional Major League Soccer club based in the Philadelphia metropolitan area.
  • E. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • 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: U3
Triple: [Nuremberg U-Bahn, hasLine, U3]
Generated description
U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U3
Target entity description: U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • A. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • B. UB
    UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
  • C. The U
    The U is the widely recognized nickname and athletic brand of the University of Miami, especially associated with its prominent Hurricanes sports programs.
  • D. The U
    The U is the popular nickname of the Philadelphia Union, a professional Major League Soccer club based in the Philadelphia metropolitan area.
  • E. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • 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.