Triple

T20159421
Position Surface form Disambiguated ID Type / Status
Subject Maribor Edvard Rusjan Airport E491663 entity
Predicate IATAcode P418 FINISHED
Object MBX
MBX is the IATA airport code for Maribor Edvard Rusjan Airport, an international airport serving the city of Maribor in Slovenia.
E1415529 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: MBX | Statement: [Maribor Edvard Rusjan Airport, IATAcode, MBX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBX
Context triple: [Maribor Edvard Rusjan Airport, IATAcode, MBX]
  • A. MBZ
    MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
  • B. MBMC
    MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
  • C. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • D. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • E. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • 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: MBX
Triple: [Maribor Edvard Rusjan Airport, IATAcode, MBX]
Generated description
MBX is the IATA airport code for Maribor Edvard Rusjan Airport, an international airport serving the city of Maribor in Slovenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MBX
Target entity description: MBX is the IATA airport code for Maribor Edvard Rusjan Airport, an international airport serving the city of Maribor in Slovenia.
  • A. MBZ
    MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
  • B. MBMC
    MBMC is the municipal governing body responsible for civic administration and infrastructure in the Mira-Bhayandar region of Maharashtra, India.
  • C. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • D. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • E. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e37c8c8190827839291027d9e2 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083478c328819094ecdf00149a17b6 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a0838867cb081908580ab9594653018 completed May 16, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_6a083965207c8190babe799e5d45f913 completed May 16, 2026, 9:31 a.m.
Created at: April 11, 2026, 11:34 p.m.