Triple

T8712062
Position Surface form Disambiguated ID Type / Status
Subject Aqua-Lung E206799 entity
Predicate manufacturer P490 FINISHED
Object La Spirotechnique
La Spirotechnique is a French company renowned for pioneering modern scuba diving equipment and developing the first commercially successful Aqua-Lung regulators.
 E753758 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: La Spirotechnique | Statement: [Aqua-Lung, manufacturer, La Spirotechnique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Spirotechnique
Context triple: [Aqua-Lung, manufacturer, La Spirotechnique]
  • A. Espee
    Espee is a common nickname for the historic Southern Pacific Railroad, a major American railroad that operated in the western United States.
  • B. Glespin
    Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
  • C. Spiro
    Spiro is a masculine given name most notably borne by Spiro Agnew, the 39th vice president of the United States.
  • D. Founex
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • E. Braun-Pivet
    Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
  • 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: La Spirotechnique
Triple: [Aqua-Lung, manufacturer, La Spirotechnique]
Generated description
La Spirotechnique is a French company renowned for pioneering modern scuba diving equipment and developing the first commercially successful Aqua-Lung regulators.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Spirotechnique
Target entity description: La Spirotechnique is a French company renowned for pioneering modern scuba diving equipment and developing the first commercially successful Aqua-Lung regulators.
  • A. Espee
    Espee is a common nickname for the historic Southern Pacific Railroad, a major American railroad that operated in the western United States.
  • B. Glespin
    Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
  • C. Spiro
    Spiro is a masculine given name most notably borne by Spiro Agnew, the 39th vice president of the United States.
  • D. Founex
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • E. Braun-Pivet
    Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c32aebc8190ba19299ce9a18efd completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28cd239c81909d1feb98b652eb26 completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd14c3c8190b43840ee57cca22c completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cb3c4308190971fb3d25064f205 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.