Triple

T19084100
Position Surface form Disambiguated ID Type / Status
Subject FV106 Samson E467099 entity
Predicate designedBy P184 FINISHED
Object Alvis NE NERFINISHED

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: Alvis | Statement: [FV106 Samson, designedBy, Alvis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvis
Context triple: [FV106 Samson, designedBy, Alvis]
  • A. Alvis
    Alvis is the given first name of American country music singer and songwriter Buck Owens.
  • B. Alvis Vehicles chosen
    Alvis Vehicles was a British manufacturer known for producing military armored vehicles and reconnaissance platforms for the British Army and international customers.
  • C. Talbot Sunbeam Lotus
    The Talbot Sunbeam Lotus is a high-performance, rear-wheel-drive hot hatch developed by Talbot in collaboration with Lotus, best known for its success in international rallying in the late 1970s and early 1980s.
  • D. Arrol
    Arrol is a Scottish surname most notably associated with Sir William Arrol, a prominent 19th-century civil engineer known for major bridge-building projects.
  • E. Austin-Healey
    Austin-Healey was a British sports car manufacturer renowned in the 1950s and 1960s for its stylish, high-performance roadsters and success in international motorsport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34600f88190bd96bcc2c5c08d14 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.