Triple

T17369269
Position Surface form Disambiguated ID Type / Status
Subject Air Arabia Maroc E422266 entity
Predicate ICAOcode P419 FINISHED
Object MAC
MAC is the ICAO airline designator assigned to Air Arabia Maroc, a Moroccan low-cost carrier.
E1264446 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: MAC | Statement: [Air Arabia Maroc, ICAOcode, MAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAC
Context triple: [Air Arabia Maroc, ICAOcode, MAC]
  • A. MAC
    MAC is the acronym for the Military Armistice Commission, the body responsible for supervising the implementation of the Korean Armistice Agreement.
  • B. MAC
    The MAC is a regional museum in Spokane, Washington, featuring art, history, and cultural exhibits focused on the Inland Northwest.
  • C. MAC
    MAC is the common abbreviation for the Macon Bacon, a collegiate summer baseball team based in Macon, Georgia.
  • D. MAC
    The MAC is an NCAA Division III athletic conference in the Middle Atlantic region of the United States, sponsoring intercollegiate sports among its member colleges and universities.
  • E. MAC
    MAC is the IATA airport code for Macon Downtown Airport, a public airport serving the city of Macon, Georgia, in the United States.
  • 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: MAC
Triple: [Air Arabia Maroc, ICAOcode, MAC]
Generated description
MAC is the ICAO airline designator assigned to Air Arabia Maroc, a Moroccan low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MAC
Target entity description: MAC is the ICAO airline designator assigned to Air Arabia Maroc, a Moroccan low-cost carrier.
  • A. MAC
    MAC is the IATA airport code for Macon Downtown Airport, a public airport serving the city of Macon, Georgia, in the United States.
  • B. MAC
    MAC is the commonly used abbreviation for the Mid-Atlantic Center for the Arts & Humanities, a cultural organization dedicated to preserving and promoting the historic and artistic heritage of the Mid-Atlantic region.
  • C. MAC
    MAC is the commonly used abbreviation for the United Kingdom’s Migration Advisory Committee, an independent body that advises the government on immigration policy.
  • D. MAC
    MAC is the stock ticker symbol for The Macerich Company, a real estate investment trust specializing in shopping centers and retail properties in the United States.
  • E. MAC
    MAC is the acronym for the Military Armistice Commission, the body responsible for supervising the implementation of the Korean Armistice Agreement.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f completed May 11, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a019b830ce88190a2634e37e399d375 completed May 11, 2026, 9:04 a.m.
Created at: April 10, 2026, 5:44 a.m.