Triple

T30242052
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen California E768942 entity
Predicate hasRefrigerator P156995 FINISHED
Object yes 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: yes | Statement: [Volkswagen California, hasRefrigerator, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRefrigerator
Context triple: [Volkswagen California, hasRefrigerator, yes]
  • A. refrigerationRequirement
    Indicates that the related item or substance must be kept at a specified refrigerated temperature or storage condition.
  • B. refrigerated chosen
    Indicates that something is kept at a low temperature, typically in a refrigerator, to preserve its condition or freshness.
  • C. isRefrigeratedForSale
    Indicates that an item is kept under refrigeration specifically for the purpose of being offered for sale.
  • D. hasIceMakingSystem
    Indicates that an entity is equipped with a system capable of producing ice.
  • E. hasIceShelf
    Indicates that a glacier, ice sheet, or coastline possesses an attached floating extension of ice known as an ice shelf.
  • 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_69f224820c048190b1435c4cc145acf1 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a005e8a2f7c819085bfc6f04b866d87 completed May 10, 2026, 10:31 a.m.
PD Predicate disambiguation batch_6a005de82ef08190a015b385d1d3443c completed May 10, 2026, 10:28 a.m.
Created at: April 29, 2026, 7:39 p.m.