Triple

T1903717
Position Surface form Disambiguated ID Type / Status
Subject MAN E37749 entity
Predicate brand P1500 FINISHED
Object Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
 E212631 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: Neoplan | Statement: [MAN, brand, Neoplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neoplan
Context triple: [MAN, brand, Neoplan]
  • A. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • B. Scania
    Scania is a historical province in southern Sweden known for its fertile farmland, coastal landscapes, and former status as part of Denmark.
  • C. Scania
    Scania is a Swedish manufacturer renowned for its heavy trucks, buses, and industrial and marine engines.
  • D. Traton
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • E. Sunbeam
    Sunbeam is a well-known consumer brand specializing in household appliances and home comfort products, owned by Newell Brands.
  • 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: Neoplan
Triple: [MAN, brand, Neoplan]
Generated description
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neoplan
Target entity description: Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • A. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • B. Scania
    Scania is a historical province in southern Sweden known for its fertile farmland, coastal landscapes, and former status as part of Denmark.
  • C. Scania
    Scania is a Swedish manufacturer renowned for its heavy trucks, buses, and industrial and marine engines.
  • D. Traton
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • E. Sunbeam
    Sunbeam is a well-known consumer brand specializing in household appliances and home comfort products, owned by Newell Brands.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1909aec8190b3259c8f969ce81e completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf768888190885ffa1632537445 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb8b3d2c8190b13c03ce944f436a completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec123cc481908e55dfbe4f4da095 completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.