Triple

T4022155
Position Surface form Disambiguated ID Type / Status
Subject BEG E91302 entity
Predicate hubFor P423 FINISHED
Object Air Serbia E91304 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: Air Serbia | Statement: [BEG, hubFor, Air Serbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Serbia
Context triple: [BEG, hubFor, Air Serbia]
  • A. Air Serbia chosen
    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.
  • B. Croatia Airlines
    Croatia Airlines is the national flag carrier of Croatia, operating domestic and international passenger flights across Europe.
  • C. Adria Airways
    Adria Airways was the former national airline of Slovenia, operating scheduled and charter flights across Europe before ceasing operations in 2019.
  • D. Balkan Bulgarian Airlines
    Balkan Bulgarian Airlines was the former national flag carrier of Bulgaria, operating international and domestic flights primarily during the socialist era until its dissolution in the early 2000s.
  • E. 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.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaccb2f48190a16a1ba6e938da85 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.