Triple

T13388083
Position Surface form Disambiguated ID Type / Status
Subject Svenska Flygmotor RM5 E319496 entity
Predicate operator P179 FINISHED
Object Flygvapnet
Flygvapnet is the Swedish Air Force, responsible for Sweden’s aerial defense and military air operations.
 E1037232 NE FINISHED

How this triple was built (4 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: Flygvapnet | Statement: [Svenska Flygmotor RM5, operator, Flygvapnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flygvapnet
Context triple: [Svenska Flygmotor RM5, operator, Flygvapnet]
  • A. Flyvevåbnet
    Flyvevåbnet is the Danish term for the Royal Danish Air Force, the air warfare branch of Denmark’s armed forces.
  • B. Luftstreitkräfte
    The Luftstreitkräfte was the air arm of the Imperial German Army during World War I, known for its fighter aces and early military aviation developments.
  • C. Luftburen
    Luftburen is a notable literary work by Swedish author Per Wästberg, reflecting his characteristic blend of social insight and nuanced psychological portrayal.
  • D. Ejército del Aire y del Espacio
    El Ejército del Aire y del Espacio es la rama de las Fuerzas Armadas de España responsable de la defensa aérea y espacial del país.
  • E. Air Fleet 3
    Air Fleet 3 was a major Luftwaffe air fleet of Nazi Germany that operated primarily on the Western Front during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flygvapnet
Triple: [Svenska Flygmotor RM5, operator, Flygvapnet]
Generated description
Flygvapnet is the Swedish Air Force, responsible for Sweden’s aerial defense and military air operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flygvapnet
Target entity description: Flygvapnet is the Swedish Air Force, responsible for Sweden’s aerial defense and military air operations.
  • A. Flyvevåbnet
    Flyvevåbnet is the Danish term for the Royal Danish Air Force, the air warfare branch of Denmark’s armed forces.
  • B. Luftstreitkräfte
    The Luftstreitkräfte was the air arm of the Imperial German Army during World War I, known for its fighter aces and early military aviation developments.
  • C. Luftburen
    Luftburen is a notable literary work by Swedish author Per Wästberg, reflecting his characteristic blend of social insight and nuanced psychological portrayal.
  • D. Ejército del Aire y del Espacio
    El Ejército del Aire y del Espacio es la rama de las Fuerzas Armadas de España responsable de la defensa aérea y espacial del país.
  • E. Air Fleet 3
    Air Fleet 3 was a major Luftwaffe air fleet of Nazi Germany that operated primarily on the Western Front during World War II.
  • F. None of above. chosen

Provenance (5 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72691c8d08190b971d7e914863cc1 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7272115f4819092e4fa0fd7f130b5 completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f72992483c8190873ba7050ad9e6fa completed May 3, 2026, 10:55 a.m.
Created at: April 9, 2026, 9:34 p.m.