Triple

T9986869
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Group vehicle engineering divisions E196790 entity
Predicate supportsBrand P91438 FINISHED
Object Bentley E38523 NE 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: Bentley | Statement: [Volkswagen Group vehicle engineering divisions, supportsBrand, Bentley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentley
Context triple: [Volkswagen Group vehicle engineering divisions, supportsBrand, Bentley]
  • A. Bentley
    Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
  • B. Bentley
    Bentley is a small rural village and civil parish in East Hampshire, England, known for its countryside setting and traditional English character.
  • C. Bentley
    Bentley is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and academia.
  • D. Bentley chosen
    Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
  • E. Aston Martin
    Aston Martin is a British luxury sports car manufacturer renowned for its high-performance grand tourers and long association with the James Bond film franchise.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79c8b80819091dc16ac8fd0c720 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258078488819086a58db79075e2b9 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:50 p.m.