Triple

T11357101
Position Surface form Disambiguated ID Type / Status
Subject OU E268983 entity
Predicate represents P129 FINISHED
Object Croatia Airlines E53721 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: Croatia Airlines | Statement: [OU, represents, Croatia Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatia Airlines
Context triple: [OU, represents, Croatia Airlines]
  • A. Croatia Airlines chosen
    Croatia Airlines is the national flag carrier of Croatia, operating domestic and international passenger flights across Europe.
  • B. Adria Airways
    Adria Airways was the former national airline of Slovenia, operating scheduled and charter flights across Europe before ceasing operations in 2019.
  • C. JAT Yugoslav Airlines
    JAT Yugoslav Airlines was the former national flag carrier of Yugoslavia, operating extensive domestic and international routes across Europe and beyond during much of the 20th century.
  • D. 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.
  • E. Air Serbia
    Air Serbia is the national flag carrier airline of Serbia, operating domestic and international passenger and cargo services primarily across Europe and the Middle East.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5564d5a8c81908bddbf3f771370f7 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.