Triple

T13088208
Position Surface form Disambiguated ID Type / Status
Subject Malév Hungarian Airlines E310391 entity
Predicate IATAcode P418 FINISHED
Object MA
MA is the IATA airline designator formerly assigned to Malév Hungarian Airlines, the former flag carrier of Hungary.
 E1021237 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: MA | Statement: [Malév Hungarian Airlines, IATAcode, MA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MA
Context triple: [Malév Hungarian Airlines, IATAcode, MA]
  • A. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • B. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • C. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • D. Mar
    Mar is an honorific ecclesiastical title used for bishops and saints in several Eastern Christian traditions, particularly within Syriac Christianity.
  • E. Mar
    Mar is a historic earldom and region in Aberdeenshire, Scotland, long associated with one of the oldest Scottish peerage titles, the Earldom of Mar.
  • 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: MA
Triple: [Malév Hungarian Airlines, IATAcode, MA]
Generated description
MA is the IATA airline designator formerly assigned to Malév Hungarian Airlines, the former flag carrier of Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MA
Target entity description: MA is the IATA airline designator formerly assigned to Malév Hungarian Airlines, the former flag carrier of Hungary.
  • A. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • B. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • C. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • D. Mar
    Mar is an honorific ecclesiastical title used for bishops and saints in several Eastern Christian traditions, particularly within Syriac Christianity.
  • E. Mar
    Mar is a historic earldom and region in Aberdeenshire, Scotland, long associated with one of the oldest Scottish peerage titles, the Earldom of Mar.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6db8b74e08190919245104ac7ebd9 completed May 3, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6dc4db1e0819082f1b7e196e7f0c0 completed May 3, 2026, 5:25 a.m.
Created at: April 9, 2026, 9:02 p.m.