Triple

T3643334
Position Surface form Disambiguated ID Type / Status
Subject Tripoli International Airport E77239 entity
Predicate usedBy P260 FINISHED
Object Buraq Air
Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
E376666 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: Buraq Air | Statement: [Tripoli International Airport, usedBy, Buraq Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buraq Air
Context triple: [Tripoli International Airport, usedBy, Buraq Air]
  • A. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • B. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • C. Pegasus Airlines
    Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
  • D. Jazeera Airways
    Jazeera Airways is a Kuwaiti low-cost airline based in Kuwait that operates regional and international flights across the Middle East, Asia, and Europe.
  • E. Badr Airlines
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • 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: Buraq Air
Triple: [Tripoli International Airport, usedBy, Buraq Air]
Generated description
Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buraq Air
Target entity description: Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • A. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • B. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • C. Pegasus Airlines
    Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
  • D. Jazeera Airways
    Jazeera Airways is a Kuwaiti low-cost airline based in Kuwait that operates regional and international flights across the Middle East, Asia, and Europe.
  • E. Badr Airlines
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35acf2c81908f60168e93b773b1 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3207688190b8d93e2e833b15a0 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b453cdaae0819099c31056b7830d26 completed March 13, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b482dfdfc08190a20e58707368b573 completed March 13, 2026, 9:34 p.m.
Created at: March 8, 2026, 3:24 p.m.