Triple

T11237613
Position Surface form Disambiguated ID Type / Status
Subject Eurowings Discover and Lufthansa Group network E265983 entity
Predicate includesAirline P35742 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: [Eurowings Discover and Lufthansa Group network, includesAirline, SWISS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWISS
Context triple: [Eurowings Discover and Lufthansa Group network, includesAirline, SWISS]
  • A. SWISS chosen
    SWISS is the callsign used by Swiss International Air Lines, the flag carrier airline of Switzerland.
  • B. Swiss
    Swiss refers to something or someone from Switzerland, a central European country known for its neutrality, multilingual culture, and high standard of living.
  • C. Schweizer
    Schweizer is one of the key members of Karl Moor’s band of outlaws in Friedrich Schiller’s play "Die Räuber," embodying the rebellious and violent spirit of the robbers.
  • D. Zwyssig
    Zwyssig is a Swiss surname most notably associated with Alberich Zwyssig, the composer of the Swiss national anthem.
  • E. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.