Triple

T13180341
Position Surface form Disambiguated ID Type / Status
Subject Erieye radar E313705 entity
Predicate developer P73 FINISHED
Object Saab Electronic Defence Systems E80855 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 Electronic Defence Systems | Statement: [Erieye radar, developer, Saab Electronic Defence Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saab Electronic Defence Systems
Context triple: [Erieye radar, developer, Saab Electronic Defence Systems]
  • A. Saab AB
    Saab AB is a Swedish aerospace and defense company known for developing military aircraft, advanced defense systems, and security solutions.
  • 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 Surveillance chosen
    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.
  • D. Saab Automobile
    Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
  • E. Saab XWD
    Saab XWD is Saab’s advanced all-wheel-drive system designed to enhance traction, handling, and stability in various driving conditions.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5ee66188190afb75a598a2f8211 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.