Triple

T4761603
Position Surface form Disambiguated ID Type / Status
Subject Clerget 9B E105709 entity
Predicate manufacturer P490 FINISHED
Object Clerget-Blin
Clerget-Blin was a French engineering company best known for producing rotary aircraft engines used extensively during World War I.
 E105709 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: Clerget-Blin | Statement: [Clerget 9B, manufacturer, Clerget-Blin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clerget-Blin
Context triple: [Clerget 9B, manufacturer, Clerget-Blin]
  • A. Clerget 9B
    The Clerget 9B is a World War I-era French nine-cylinder rotary aircraft engine widely used in British fighter planes.
  • B. Bréguet–Sabin
    Bréguet–Sabin is a Paris Métro station located in the 11th arrondissement, named after the engineer Louis Bréguet and the chemist Antoine-Augustin Parmentier de Sabin.
  • C. Renault–Gitane
    Renault–Gitane was a dominant French professional cycling team of the late 1970s and early 1980s, known for nurturing multiple Grand Tour champions and pioneering modern team tactics.
  • D. Traton
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • E. Le Creusot
    Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
  • 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: Clerget-Blin
Triple: [Clerget 9B, manufacturer, Clerget-Blin]
Generated description
Clerget-Blin was a French engineering company best known for producing rotary aircraft engines used extensively during World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clerget-Blin
Target entity description: Clerget-Blin was a French engineering company best known for producing rotary aircraft engines used extensively during World War I.
  • A. Clerget 9B chosen
    The Clerget 9B is a World War I-era French nine-cylinder rotary aircraft engine widely used in British fighter planes.
  • B. Bréguet–Sabin
    Bréguet–Sabin is a Paris Métro station located in the 11th arrondissement, named after the engineer Louis Bréguet and the chemist Antoine-Augustin Parmentier de Sabin.
  • C. Renault–Gitane
    Renault–Gitane was a dominant French professional cycling team of the late 1970s and early 1980s, known for nurturing multiple Grand Tour champions and pioneering modern team tactics.
  • D. Traton
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • E. Le Creusot
    Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
  • F. None of above.

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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650eefe08190b99f9f01b121dbfd completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a81c9dc8190b9e7f399ac1de268 completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3b4791008190ba3f3f6e7698146f completed March 21, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69be3bbe432081909bf134e1be799b58 completed March 21, 2026, 6:33 a.m.
Created at: March 20, 2026, 1:20 p.m.