Triple

T11904328
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart Stadtbahn E283234 entity
Predicate hasLine P35 FINISHED
Object U29
U29 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
 E953842 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: U29 | Statement: [Stuttgart Stadtbahn, hasLine, U29]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U29
Context triple: [Stuttgart Stadtbahn, hasLine, U29]
  • A. R29
    R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
  • B. R29
    R29 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network serving passengers in the Barcelona metropolitan area and surrounding regions.
  • C. G29
    G29 is the third-generation BMW Z4 roadster, known for its sharp styling, rear-wheel-drive dynamics, and shared platform with the Toyota GR Supra.
  • D. U-20
    U-20 was a German World War I U-boat best known for sinking the British ocean liner RMS Lusitania in 1915.
  • E. U-20
    U-20 is the FIFA code used to represent the New Zealand under-20 national football team in international competitions and records.
  • 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: U29
Triple: [Stuttgart Stadtbahn, hasLine, U29]
Generated description
U29 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U29
Target entity description: U29 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
  • A. R29
    R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
  • B. R29
    R29 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network serving passengers in the Barcelona metropolitan area and surrounding regions.
  • C. G29
    G29 is the third-generation BMW Z4 roadster, known for its sharp styling, rear-wheel-drive dynamics, and shared platform with the Toyota GR Supra.
  • D. U-20
    U-20 was a German World War I U-boat best known for sinking the British ocean liner RMS Lusitania in 1915.
  • E. U-20
    U-20 is the FIFA code used to represent the New Zealand under-20 national football team in international competitions and records.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418487f448190b6e24fb2c0409e3f completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1d2da0819082f00cf61a6530b6 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4228a73708190a6d2db321e175921 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.