Triple

T15614765
Position Surface form Disambiguated ID Type / Status
Subject Tante Ju E375383 entity
Predicate associatedWithAirlineUse P16896 FINISHED
Object Lufthansa E48740 NE FINISHED

How this triple was built (3 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: Lufthansa | Statement: [Tante Ju, associatedWithAirlineUse, Lufthansa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lufthansa
Context triple: [Tante Ju, associatedWithAirlineUse, Lufthansa]
  • A. Lufthansa chosen
    Lufthansa is Germany’s largest airline and a major global carrier known for its extensive international network and role in shaping modern airline alliances.
  • B. Lufthansa Cargo
    Lufthansa Cargo is the air freight and logistics division of the Lufthansa Group, operating a global network for transporting cargo by air.
  • C. 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.
  • D. S7 Airlines
    S7 Airlines is a major Russian airline based in Novosibirsk that operates extensive domestic and international routes, particularly across Russia, Europe, and Asia.
  • E. Deutsche Luft-Reederei
    Deutsche Luft-Reederei was an early German airline, founded after World War I, that operated some of the first commercial passenger and mail flights in Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithAirlineUse
Context triple: [Tante Ju, associatedWithAirlineUse, Lufthansa]
  • A. associatedWithFlight
    Indicates a relationship where an entity is linked or connected to a specific flight, such as by participation, operation, or relevance.
  • B. associatedWithAirlineOperations
    Indicates a relationship in which an entity is connected to, involved in, or relevant to the operations and activities of an airline.
  • C. associatedWithFrequentFlyerProgram
    Indicates that an entity has a connection or involvement with a frequent flyer program, such as membership, participation, or affiliation.
  • D. airlinesUse chosen
    Indicates that certain airlines operate, employ, or make use of a specified resource, service, or system.
  • E. associatedAirlineType
    Indicates a relationship where an airline is linked to a specific classification or type (e.g., carrier category or operational class).
  • F. None of above.

Provenance (4 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e83407c8190abbcd4b7fab0ff85 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:13 a.m.