Triple

T291356
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Group E6000 entity
Predicate owns P347 FINISHED
Object MAN
MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
 E37749 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: MAN | Statement: [Volkswagen Group, owns, MAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAN
Context triple: [Volkswagen Group, owns, MAN]
  • A. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • B. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • E. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • 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: MAN
Triple: [Volkswagen Group, owns, MAN]
Generated description
MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAN
Target entity description: MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • A. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • B. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • E. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e975d2c0819082bbf6a0f3d928af completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a33be60481908016ef90c44498a7 completed March 1, 2026, 2:23 a.m.
NEDg Description generation batch_69a3a4068610819086b8a58a0a9198b7 completed March 1, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69a3a49050ec8190b81afc1407187e3f completed March 1, 2026, 2:29 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.