Triple

T3508039
Position Surface form Disambiguated ID Type / Status
Subject Air Arabia Egypt E74125 entity
Predicate callsign P1565 FINISHED
Object AIR ARABIA EGYPT E74125 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 ARABIA EGYPT | Statement: [Air Arabia Egypt, callsign, AIR ARABIA EGYPT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIR ARABIA EGYPT
Context triple: [Air Arabia Egypt, callsign, AIR ARABIA EGYPT]
  • A. Air Arabia Egypt chosen
    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.
  • B. EgyptAir
    EgyptAir is the flag carrier airline of Egypt, operating domestic and international flights primarily from its hub in Cairo.
  • C. 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.
  • D. EgyptAir Holding Company
    EgyptAir Holding Company is the state-owned aviation group that oversees EgyptAir and its affiliated airline and aviation service subsidiaries.
  • E. Badr Airlines
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0b635c81909bc95ba2562d8f94 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e3cd808190807d4acae2942a9d completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.