Triple

T8349982
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Type 4 E196134 entity
Predicate engineCooling P11564 FINISHED
Object air-cooled LITERAL FINISHED

How this triple was built (2 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: air-cooled | Statement: [Volkswagen Type 4, engineCooling, air-cooled]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineCooling
Context triple: [Volkswagen Type 4, engineCooling, air-cooled]
  • A. coolingMethod chosen
    Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
  • B. coolant
    Indicates that one entity functions as a coolant for another, serving to absorb and remove heat from it.
  • C. coolingRequirement
    Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
  • D. coolantPressure
    Indicates the pressure level exerted by a coolant within a cooling system or component.
  • E. hasCoolingFlow
    Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
  • F. None of above.

Provenance (3 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80181ca48190bbf2e6a6aae80d69 completed March 31, 2026, 8:04 a.m.
PD Predicate disambiguation batch_69cb70c6d0ec8190acf273b0e007b51a completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:59 p.m.