Triple

T10041796
Position Surface form Disambiguated ID Type / Status
Subject RBS 56 BILL E205312 entity
Predicate manufacturer P490 FINISHED
Object Bofors E18029 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: Bofors | Statement: [RBS 56 BILL, manufacturer, Bofors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bofors
Context triple: [RBS 56 BILL, manufacturer, Bofors]
  • A. Bofors IK
    Bofors IK is an ice hockey club based in Karlskoga, Sweden, known for competing in the country’s professional league system.
  • B. Rheinmetall
    Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
  • C. Bofors (as an arms manufacturer) chosen
    Bofors is a Swedish arms manufacturer historically renowned for its artillery and anti-aircraft guns, which played a significant role in 20th-century warfare.
  • D. Steyr
    Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
  • E. FN Herstal
    FN Herstal is a Belgian firearms manufacturer renowned for producing a wide range of military and law-enforcement weapons used worldwide.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee48d8c8190af7c93b60f8ca7cb completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2827064108190b9079717a4eb98d6 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.