Triple

T6903737
Position Surface form Disambiguated ID Type / Status
Subject Reichswehr air units E159554 entity
Predicate trainingLocationAbroad P46515 FINISHED
Object Lipetsk fighter-pilot school
The Lipetsk fighter-pilot school was a secret German-Soviet training facility in the interwar period where German military aviators covertly developed and tested air combat tactics and technology despite the restrictions of the Treaty of Versailles.
E626569 NE FINISHED

How this triple was built (5 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: Lipetsk fighter-pilot school | Statement: [Reichswehr air units, trainingLocationAbroad, Lipetsk fighter-pilot school]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipetsk fighter-pilot school
Context triple: [Reichswehr air units, trainingLocationAbroad, Lipetsk fighter-pilot school]
  • A. Chuhuiv Military Aviation School of Pilots
    The Chuhuiv Military Aviation School of Pilots was a Soviet military flight training institution in Ukraine known for producing distinguished fighter pilots such as Ivan Kozhedub.
  • B. Borisoglebsk Higher Military Aviation School
    Borisoglebsk Higher Military Aviation School is a Soviet-era military aviation academy in Russia known for training fighter and attack aircraft pilots, including several prominent military and political figures.
  • C. Gagarin Air Force Academy
    Gagarin Air Force Academy was a premier Soviet military aviation academy responsible for educating and training high-ranking Air Force officers and aerospace specialists.
  • D. Frunze Military Academy
    Frunze Military Academy was a premier Soviet higher military education institution that trained mid- and senior-level officers in operational and strategic command.
  • E. Ulan-Ude Aviation Plant
    Ulan-Ude Aviation Plant is a major Russian aerospace manufacturer known for producing military aircraft and helicopters, including models like the Sukhoi Su-25.
  • 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: Lipetsk fighter-pilot school
Triple: [Reichswehr air units, trainingLocationAbroad, Lipetsk fighter-pilot school]
Generated description
The Lipetsk fighter-pilot school was a secret German-Soviet training facility in the interwar period where German military aviators covertly developed and tested air combat tactics and technology despite the restrictions of the Treaty of Versailles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lipetsk fighter-pilot school
Target entity description: The Lipetsk fighter-pilot school was a secret German-Soviet training facility in the interwar period where German military aviators covertly developed and tested air combat tactics and technology despite the restrictions of the Treaty of Versailles.
  • A. Chuhuiv Military Aviation School of Pilots
    The Chuhuiv Military Aviation School of Pilots was a Soviet military flight training institution in Ukraine known for producing distinguished fighter pilots such as Ivan Kozhedub.
  • B. Borisoglebsk Higher Military Aviation School
    Borisoglebsk Higher Military Aviation School is a Soviet-era military aviation academy in Russia known for training fighter and attack aircraft pilots, including several prominent military and political figures.
  • C. Gagarin Air Force Academy
    Gagarin Air Force Academy was a premier Soviet military aviation academy responsible for educating and training high-ranking Air Force officers and aerospace specialists.
  • D. Frunze Military Academy
    Frunze Military Academy was a premier Soviet higher military education institution that trained mid- and senior-level officers in operational and strategic command.
  • E. Ulan-Ude Aviation Plant
    Ulan-Ude Aviation Plant is a major Russian aerospace manufacturer known for producing military aircraft and helicopters, including models like the Sukhoi Su-25.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingLocationAbroad
Context triple: [Reichswehr air units, trainingLocationAbroad, Lipetsk fighter-pilot school]
  • A. travelsAbroad
    Indicates that an entity goes to or spends time in a foreign country outside its usual nation of residence.
  • B. locatedInOverseasCountry
    Indicates that an entity is situated in a country that is overseas relative to a given reference location or jurisdiction.
  • C. internationalCampusLocation chosen
    Indicates that an educational institution has a campus located in a country different from its primary or home country.
  • D. trainingLocationType
    Indicates the type or category of place where a training activity occurs.
  • E. oftenTravelsTo
    Indicates that one entity frequently goes to or visits another location or entity.
  • F. None of above.

Provenance (6 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d989c13081908a2e346cde9e3a50 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f6640481908b74903a47e1eb18 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749657f14819091e01c3cb6a0cdc4 completed March 28, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c749e8e1588190886fa72e0661d673 completed March 28, 2026, 3:24 a.m.
PD Predicate disambiguation batch_69c6d7b7681481909ec50509b19fcf81 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:25 p.m.