Triple

T28929002
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Type 3 E733728 entity
Predicate stationWagonName P55902 FINISHED
Object Volkswagen Variant
The Volkswagen Variant is the station wagon version of Volkswagen's Type 3 line, offering expanded cargo space in a compact, rear-engined family car produced in the 1960s and 1970s.
 E1842075 NE FINISHED

How this triple was built (3 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: Volkswagen Variant | Statement: [Volkswagen Type 3, stationWagonName, Volkswagen Variant]
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: Volkswagen Variant
Triple: [Volkswagen Type 3, stationWagonName, Volkswagen Variant]
Generated description
The Volkswagen Variant is the station wagon version of Volkswagen's Type 3 line, offering expanded cargo space in a compact, rear-engined family car produced in the 1960s and 1970s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: stationWagonName
Context triple: [Volkswagen Type 3, stationWagonName, Volkswagen Variant]
  • A. vehicleName chosen
    Indicates the specific name or designation assigned to a vehicle.
  • B. carModel
    Indicates the specific model designation of a car within a particular make or brand.
  • C. starVehicleFor
    Indicates that one entity serves as the primary or featured vehicle associated with another entity, such as a person, production, or event.
  • D. carManufacturer
    Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
  • E. testVehicleName
    Indicates that an entity is used to test or validate the name assigned to a vehicle.
  • F. None of above.

Provenance (6 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_69f05b0b49b08190b8994b339c7980f6 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f67d3624248190a36a9b2d2e9778d4 completed May 2, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec3c3f548190b934d716a1fb4ec2 completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f092aabc81908676a4d355891072 completed June 7, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_6a24f55704a081908533c0e5d81b1bb2 completed June 7, 2026, 4:36 a.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 28, 2026, 8:26 a.m.