Triple

T2230019
Position Surface form Disambiguated ID Type / Status
Subject EgyptAir E48742 entity
Predicate formerName P65 FINISHED
Object Misr Airlines E48742 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: Misr Airlines | Statement: [EgyptAir, formerName, Misr Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misr Airlines
Context triple: [EgyptAir, formerName, Misr Airlines]
  • A. EgyptAir chosen
    EgyptAir is the flag carrier airline of Egypt, operating domestic and international flights primarily from its hub in Cairo.
  • B. Nile Air
    Nile Air is a privately owned Egyptian airline that operates domestic and regional flights across the Middle East, North Africa, and parts of Europe.
  • C. Sudan Airways
    Sudan Airways is the national flag carrier airline of Sudan, operating domestic and international flights primarily across Africa and the Middle East.
  • D. Middle East Airlines
    Middle East Airlines is the national flag carrier of Lebanon, operating regional and international flights primarily from its hub at Beirut–Rafic Hariri International Airport.
  • E. Air Arabia Egypt
    Air Arabia Egypt is an Egyptian low-cost airline based in Alexandria that operates regional and international flights as part of the Air Arabia Group.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc069e0ac8190bcda8cba9f5c7a5d completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b001ee481909b28aea25ad7b906 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:47 p.m.