Triple

T19061400
Position Surface form Disambiguated ID Type / Status
Subject Vossloh Citylink E466540 entity
Predicate introducedBy P513 FINISHED
Object Vossloh
Vossloh is a German company specializing in rail technology and infrastructure, known for manufacturing locomotives, light rail vehicles, and railway components.
 E1357533 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: Vossloh | Statement: [Vossloh Citylink, introducedBy, Vossloh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vossloh
Context triple: [Vossloh Citylink, introducedBy, Vossloh]
  • A. Siemens–Duewag
    Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
  • B. Borsigwerke
    Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
  • C. Borsig
    Borsig is a German surname most prominently associated with August Borsig, a 19th-century industrialist and locomotive manufacturer.
  • D. Gothaer Waggonfabrik
    Gothaer Waggonfabrik was a German industrial company best known for producing military aircraft, including heavy bombers, during World War I.
  • E. Stettiner Vulcan AG
    Stettiner Vulcan AG was a prominent German shipbuilding company based in Stettin (now Szczecin, Poland), known for constructing major naval and commercial vessels in the late 19th and early 20th centuries.
  • 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: Vossloh
Triple: [Vossloh Citylink, introducedBy, Vossloh]
Generated description
Vossloh is a German company specializing in rail technology and infrastructure, known for manufacturing locomotives, light rail vehicles, and railway components.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vossloh
Target entity description: Vossloh is a German company specializing in rail technology and infrastructure, known for manufacturing locomotives, light rail vehicles, and railway components.
  • A. Siemens–Duewag
    Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
  • B. Borsigwerke
    Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
  • C. Borsig
    Borsig is a German surname most prominently associated with August Borsig, a 19th-century industrialist and locomotive manufacturer.
  • D. Gothaer Waggonfabrik
    Gothaer Waggonfabrik was a German industrial company best known for producing military aircraft, including heavy bombers, during World War I.
  • E. Stettiner Vulcan AG
    Stettiner Vulcan AG was a prominent German shipbuilding company based in Stettin (now Szczecin, Poland), known for constructing major naval and commercial vessels in the late 19th and early 20th centuries.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e194c854819085a0a48d22c5cebd completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d3569e5881909b6493ce9ac447a5 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d5c28a708190bf31c547522380db completed May 14, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_6a05d74b87048190b02383d4c0769c2d completed May 14, 2026, 2:08 p.m.
Created at: April 10, 2026, 12:03 p.m.