Triple

T2230018
Position Surface form Disambiguated ID Type / Status
Subject EgyptAir E48742 entity
Predicate formerName P65 FINISHED
Object Misr Airwork 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 Airwork | Statement: [EgyptAir, formerName, Misr Airwork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misr Airwork
Context triple: [EgyptAir, formerName, Misr Airwork]
  • A. 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.
  • B. EgyptAir chosen
    EgyptAir is the flag carrier airline of Egypt, operating domestic and international flights primarily from its hub in Cairo.
  • 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. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • E. Syrian Air
    Syrian Air is the state-owned national airline of Syria, operating regional and international passenger flights primarily from its hub in Damascus.
  • 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_69ae656a1f788190a08c3283bfedb6f4 completed March 9, 2026, 6:15 a.m.
Created at: March 4, 2026, 7:47 p.m.