Triple

T2298186
Position Surface form Disambiguated ID Type / Status
Subject Swiss International Air Lines E51666 entity
Predicate callsign P1565 FINISHED
Object SWISS
SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
 E253279 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: SWISS | Statement: [Swiss International Air Lines, callsign, SWISS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SWISS
Context triple: [Swiss International Air Lines, callsign, SWISS]
  • A. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • B. Helvetia
    Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
  • C. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • D. La Chaux-de-Fonds
    La Chaux-de-Fonds is a Swiss city in the Jura Mountains renowned as a historic center of watchmaking and a UNESCO World Heritage Site for its unique urban planning tied to the industry.
  • E. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • 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: SWISS
Triple: [Swiss International Air Lines, callsign, SWISS]
Generated description
SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SWISS
Target entity description: SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
  • A. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • B. Helvetia
    Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
  • C. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • D. La Chaux-de-Fonds
    La Chaux-de-Fonds is a Swiss city in the Jura Mountains renowned as a historic center of watchmaking and a UNESCO World Heritage Site for its unique urban planning tied to the industry.
  • E. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5df37808190ba6a43dc1e9e723a completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f2ba4048190898e3524feb0d96d completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae802a066881909aa4e7b00e29306f completed March 9, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69ae80c37ff48190a24b7806320ebc00 completed March 9, 2026, 8:11 a.m.
Created at: March 4, 2026, 7:49 p.m.