Triple

T881158
Position Surface form Disambiguated ID Type / Status
Subject Saab 96 E19028 entity
Predicate emblem P129 FINISHED
Object Saab griffin logo 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 griffin logo | Statement: [Saab 96, emblem, Saab griffin logo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saab griffin logo
Context triple: [Saab 96, emblem, Saab griffin logo]
  • A. Saab Surveillance
    Saab Surveillance is a business unit of the Swedish defense and security company Saab AB that specializes in advanced radar, sensor, and command-and-control systems for military and civil applications.
  • 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 Automobile chosen
    Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
  • E. 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.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accb653c81909fe0753f78145be9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85883c481909261bde7fdebcde1 completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.