Triple

T13000791
Position Surface form Disambiguated ID Type / Status
Subject Swedish Air Force F 7 Wing E322163 entity
Predicate shortName P43 FINISHED
Object F 7
F 7 is a wing of the Swedish Air Force known for operating and training on advanced combat aircraft.
 E1016578 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: F 7 | Statement: [Swedish Air Force F 7 Wing, shortName, F 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F 7
Context triple: [Swedish Air Force F 7 Wing, shortName, F 7]
  • A. F8
    F8 is the IATA airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • B. F.
    F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
  • C. F-7
    The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
  • D. F.2
    The F.2 is a variant of the British Supermarine Swift jet fighter, distinguished by its early service in the Royal Air Force during the 1950s.
  • E. F-3
    F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
  • 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: F 7
Triple: [Swedish Air Force F 7 Wing, shortName, F 7]
Generated description
F 7 is a wing of the Swedish Air Force known for operating and training on advanced combat aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F 7
Target entity description: F 7 is a wing of the Swedish Air Force known for operating and training on advanced combat aircraft.
  • A. F8
    F8 is the IATA airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • B. F.
    F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
  • C. F-7
    The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
  • D. F.2
    The F.2 is a variant of the British Supermarine Swift jet fighter, distinguished by its early service in the Royal Air Force during the 1950s.
  • E. F-3
    F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9828748190b2ad9ea29180b7d3 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c103e49c8190a140527f24b5c799 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c562d10c8190b76dbf50a0101bae completed May 3, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69f6c635fc888190891a79da9d7984a0 completed May 3, 2026, 3:51 a.m.
Created at: April 9, 2026, 8:46 p.m.