Triple

T1548540
Position Surface form Disambiguated ID Type / Status
Subject Czech Airlines E33033 entity
Predicate formerName P65 FINISHED
Object Czechoslovak State Airlines E33033 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: Czechoslovak State Airlines | Statement: [Czech Airlines, formerName, Czechoslovak State Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czechoslovak State Airlines
Context triple: [Czech Airlines, formerName, Czechoslovak State Airlines]
  • A. Czech Airlines chosen
    Czech Airlines is the national flag carrier of the Czech Republic, operating scheduled passenger flights across Europe and to select long-haul destinations.
  • B. 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.
  • C. Croatia Airlines
    Croatia Airlines is the national flag carrier of Croatia, operating domestic and international passenger flights across Europe.
  • 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. Belgian Air Service
    The Belgian Air Service was the military aviation branch of Belgium during World War I, operating fighter and reconnaissance aircraft on the Western Front.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a073bc8190a269cb036775dfe4 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.