Triple

T2230020
Position Surface form Disambiguated ID Type / Status
Subject EgyptAir E48742 entity
Predicate formerName P65 FINISHED
Object United Arab Airlines
United Arab Airlines was the former name of EgyptAir, the national flag carrier airline of Egypt.
E245445 NE FINISHED

How this triple was built (4 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: United Arab Airlines | Statement: [EgyptAir, formerName, United Arab Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Arab Airlines
Context triple: [EgyptAir, formerName, United Arab Airlines]
  • A. 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.
  • B. Gulf Air
    Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
  • C. Badr Airlines
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • D. Sudan Airways
    Sudan Airways is the national flag carrier airline of Sudan, operating domestic and international flights primarily across Africa and the Middle East.
  • E. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: United Arab Airlines
Triple: [EgyptAir, formerName, United Arab Airlines]
Generated description
United Arab Airlines was the former name of EgyptAir, the national flag carrier airline of Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: United Arab Airlines
Target entity description: United Arab Airlines was the former name of EgyptAir, the national flag carrier airline of Egypt.
  • A. 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.
  • B. Gulf Air
    Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
  • C. Badr Airlines
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • D. Sudan Airways
    Sudan Airways is the national flag carrier airline of Sudan, operating domestic and international flights primarily across Africa and the Middle East.
  • E. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69ae65d4f26481909808c97b95ca9b30 completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae6670b6d88190a09023fae63f4000 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:47 p.m.