Triple

T10817181
Position Surface form Disambiguated ID Type / Status
Subject SWR E255261 entity
Predicate usedBy P260 FINISHED
Object Swiss International Air Lines E51666 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 International Air Lines | Statement: [SWR, usedBy, Swiss International Air Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss International Air Lines
Context triple: [SWR, usedBy, Swiss International Air Lines]
  • A. Swiss International Air Lines chosen
    Swiss International Air Lines is the flag carrier airline of Switzerland, operating a global network of flights primarily from its hub in Zurich.
  • B. Swissair
    Swissair was the former national airline of Switzerland, renowned for its high service standards and extensive international route network until its collapse in 2001.
  • C. Austrian Airlines
    Austrian Airlines is the flag carrier airline of Austria, operating an extensive network of European and long-haul flights from its main hub in Vienna.
  • D. Lufthansa
    Lufthansa is Germany’s largest airline and a major global carrier known for its extensive international network and role in shaping modern airline alliances.
  • E. Interflug
    Interflug was the state-owned national airline of East Germany, operating international and domestic flights primarily within the Eastern Bloc during the Cold War.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eea03c8190a68f4d4f89f497a2 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6d27d8c8190b2c8ee9c54cf7fd1 completed April 18, 2026, 8:17 p.m.
Created at: April 8, 2026, 9:18 p.m.