Triple

T2298214
Position Surface form Disambiguated ID Type / Status
Subject Swiss International Air Lines E51666 entity
Predicate brandName P1500 FINISHED
Object SWISS E253279 NE FINISHED

How this triple was built (2 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, brandName, SWISS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWISS
Context triple: [Swiss International Air Lines, brandName, SWISS]
  • A. SWISS chosen
    SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
  • B. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • C. Helvetia
    Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ae8954a804819092c716582f23af14 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.