Triple

T18138911
Position Surface form Disambiguated ID Type / Status
Subject Saab 92 E434209 entity
Predicate firstProductionCarOf P35144 FINISHED
Object Saab NE NERFINISHED

How this triple was built (3 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 | Statement: [Saab 92, firstProductionCarOf, Saab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saab
Context triple: [Saab 92, firstProductionCarOf, Saab]
  • 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 Kockums
    Saab Kockums is a Swedish shipyard and defense company best known for designing and building advanced submarines and naval vessels.
  • C. Saab AB
    Saab AB is a Swedish aerospace and defense company known for developing military aircraft, advanced defense systems, and security solutions.
  • D. Saab 600
    The Saab 600 was a rebadged version of the first-generation Lancia Delta hatchback, sold by Saab primarily in Nordic markets in the early 1980s.
  • E. Saab 96
    The Saab 96 is a compact Swedish car produced from 1960 to 1980, known for its distinctive aerodynamic shape, front-wheel drive, and success in international rallying.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstProductionCarOf
Context triple: [Saab 92, firstProductionCarOf, Saab]
  • A. firstMassProductionBy
    Indicates that the subject is the first entity to mass-produce the object or technology referenced.
  • B. firstModelIntroduced
    Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
  • C. firstMassProductionProductName chosen
    Indicates the name of the product that was the first to be mass-produced by a given entity.
  • D. wasFirstProducedBy
    Indicates that something (such as a product, work, or item) was initially created, manufactured, or brought into existence by a particular agent, organization, or producer.
  • E. firstProductionYear
    Indicates the year in which something (such as a product, work, or item) was first produced.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0993e88190b19c5cb35a6d252d completed April 19, 2026, 1:52 p.m.
PD Predicate disambiguation batch_69e43317d11c81908d1dc14921566b47 completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:29 a.m.