Triple

T13012698
Position Surface form Disambiguated ID Type / Status
Subject Junkers J 1 E322459 entity
Predicate usedBy P260 FINISHED
Object Idflieg
Idflieg was the German Imperial Inspectorate of Flying Troops, the military authority responsible for overseeing and coordinating aircraft development and procurement during World War I.
 E1015503 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: Idflieg | Statement: [Junkers J 1, usedBy, Idflieg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Idflieg
Context triple: [Junkers J 1, usedBy, Idflieg]
  • A. Luftburen
    Luftburen is a notable literary work by Swedish author Per Wästberg, reflecting his characteristic blend of social insight and nuanced psychological portrayal.
  • B. Iha
    Iha is a Papuan language spoken primarily in the Bomberai Peninsula region of West Papua, Indonesia.
  • C. Valdresflye
    Valdresflye is a high mountain plateau and scenic driving route in central Norway, renowned for its expansive views, hiking opportunities, and access to the Jotunheimen region.
  • D. Avion
    Avion is a commune in the Pas-de-Calais department in northern France.
  • E. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • 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: Idflieg
Triple: [Junkers J 1, usedBy, Idflieg]
Generated description
Idflieg was the German Imperial Inspectorate of Flying Troops, the military authority responsible for overseeing and coordinating aircraft development and procurement during World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Idflieg
Target entity description: Idflieg was the German Imperial Inspectorate of Flying Troops, the military authority responsible for overseeing and coordinating aircraft development and procurement during World War I.
  • A. Luftburen
    Luftburen is a notable literary work by Swedish author Per Wästberg, reflecting his characteristic blend of social insight and nuanced psychological portrayal.
  • B. Iha
    Iha is a Papuan language spoken primarily in the Bomberai Peninsula region of West Papua, Indonesia.
  • C. Valdresflye
    Valdresflye is a high mountain plateau and scenic driving route in central Norway, renowned for its expansive views, hiking opportunities, and access to the Jotunheimen region.
  • D. Avion
    Avion is a commune in the Pas-de-Calais department in northern France.
  • E. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • 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_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c10d5b9881909db688c1ab0e6a77 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c277e6248190870b3bf9869716a7 completed May 3, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69f6c38bc0b08190b76cb0853d99ad82 completed May 3, 2026, 3:39 a.m.
Created at: April 9, 2026, 8:49 p.m.