Triple

T4345414
Position Surface form Disambiguated ID Type / Status
Subject Sixten Sason E97886 entity
Predicate associatedWith P37 FINISHED
Object Saab automobiles E2751 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: Saab automobiles | Statement: [Sixten Sason, associatedWith, Saab automobiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saab automobiles
Context triple: [Sixten Sason, associatedWith, Saab automobiles]
  • A. Saab Automobile chosen
    Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
  • B. Saab AB
    Saab AB is a Swedish aerospace and defense company known for developing military aircraft, advanced defense systems, and security solutions.
  • C. Saab Kockums
    Saab Kockums is a Swedish shipyard and defense company best known for designing and building advanced submarines and naval vessels.
  • D. Saab 93
    The Saab 93 is a compact two-door car produced by Swedish manufacturer Saab in the late 1950s, known for its aerodynamic design, front-wheel drive, and successful rally performance.
  • E. Saab 9-5
    The Saab 9-5 is a mid-size executive car produced by Swedish automaker Saab, known for its turbocharged engines, safety innovations, and distinctive Scandinavian design.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518bec408190ba07643bbf7eb632 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4fa3c388190a5e3ceb733e278f8 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:15 p.m.