Triple

T8660288
Position Surface form Disambiguated ID Type / Status
Subject Swissair E205529 entity
Predicate foundedBy P104 FINISHED
Object Ad Astra Aero
Ad Astra Aero was an early Swiss aviation company that played a key role in the development of commercial air transport in Switzerland and later became part of Swissair’s origins.
 E748922 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: Ad Astra Aero | Statement: [Swissair, foundedBy, Ad Astra Aero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ad Astra Aero
Context triple: [Swissair, foundedBy, Ad Astra Aero]
  • A. Air Astra
    Air Astra is a Bangladeshi airline that operates domestic flights, primarily centered around Dhaka’s Hazrat Shahjalal International Airport.
  • B. Astra
    Astra is a prominent Asian work, likely a creative or literary piece, recognized for its cultural and artistic significance within Asia.
  • C. Astra
    Astra is an Italian manufacturer of heavy-duty off-road trucks and construction vehicles, known for its robust equipment used in mining, construction, and military applications.
  • D. AeroLogic
    AeroLogic is a German cargo airline operating long-haul freight services, primarily on behalf of DHL and Lufthansa Cargo.
  • E. Ramport Aero
    Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
  • 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: Ad Astra Aero
Triple: [Swissair, foundedBy, Ad Astra Aero]
Generated description
Ad Astra Aero was an early Swiss aviation company that played a key role in the development of commercial air transport in Switzerland and later became part of Swissair’s origins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ad Astra Aero
Target entity description: Ad Astra Aero was an early Swiss aviation company that played a key role in the development of commercial air transport in Switzerland and later became part of Swissair’s origins.
  • A. Air Astra
    Air Astra is a Bangladeshi airline that operates domestic flights, primarily centered around Dhaka’s Hazrat Shahjalal International Airport.
  • B. Astra
    Astra is a prominent Asian work, likely a creative or literary piece, recognized for its cultural and artistic significance within Asia.
  • C. Astra
    Astra is an Italian manufacturer of heavy-duty off-road trucks and construction vehicles, known for its robust equipment used in mining, construction, and military applications.
  • D. AeroLogic
    AeroLogic is a German cargo airline operating long-haul freight services, primarily on behalf of DHL and Lufthansa Cargo.
  • E. Ramport Aero
    Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48701c748190a5f7bd9e2da0e5e9 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccfda1dc8190a3b93b1c7e813f33 completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8d530081908f5a52d5d76bd414 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf7c66308190b9fb87bc0ab510a8 completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:30 p.m.