Triple

T9313853
Position Surface form Disambiguated ID Type / Status
Subject Minsk National Airport E224069 entity
Predicate IATAcode P418 FINISHED
Object MSQ
MSQ is the IATA airport code for Minsk National Airport, the main international airport serving Minsk, Belarus.
 E791389 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: MSQ | Statement: [Minsk National Airport, IATAcode, MSQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSQ
Context triple: [Minsk National Airport, IATAcode, MSQ]
  • A. QMSU
    QMSU is the students’ union representing and supporting students at Queen Mary University of London through services, activities, and advocacy.
  • B. MQMs
    MQMs are Delta Air Lines’ status-qualifying miles that determine a SkyMiles member’s Medallion elite tier based on distance and fare class flown.
  • C. MSB
    MSB is a professional French basketball club based in Le Mans that competes in the country’s top-tier league and European competitions.
  • D. MSB
    MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
  • E. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • 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: MSQ
Triple: [Minsk National Airport, IATAcode, MSQ]
Generated description
MSQ is the IATA airport code for Minsk National Airport, the main international airport serving Minsk, Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSQ
Target entity description: MSQ is the IATA airport code for Minsk National Airport, the main international airport serving Minsk, Belarus.
  • A. QMSU
    QMSU is the students’ union representing and supporting students at Queen Mary University of London through services, activities, and advocacy.
  • B. MQMs
    MQMs are Delta Air Lines’ status-qualifying miles that determine a SkyMiles member’s Medallion elite tier based on distance and fare class flown.
  • C. MSB
    MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
  • D. MSB
    MSB is a professional French basketball club based in Le Mans that competes in the country’s top-tier league and European competitions.
  • E. MQD
    MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7a0adc4819097ac906f03f0188e completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0c8a7190c819097e71c15f7924268 completed April 4, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69d0c9e7e7d08190bddc6786f0fcea9e completed April 4, 2026, 8:20 a.m.
Created at: March 30, 2026, 7:37 p.m.