Triple

T7019425
Position Surface form Disambiguated ID Type / Status
Subject Air Mauritius E162780 entity
Predicate IATAcode P418 FINISHED
Object MK
MK is the two-letter IATA airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
E637687 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: MK | Statement: [Air Mauritius, IATAcode, MK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MK
Context triple: [Air Mauritius, IATAcode, MK]
  • A. MK
    MK is the commonly used abbreviation for Umkhonto we Sizwe, the former armed wing of South Africa’s African National Congress during the anti-apartheid struggle.
  • B. MK
    MK is the postal area code designation for Milton Keynes and its surrounding region in the United Kingdom.
  • C. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • D. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • E. MJ
    MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
  • 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: MK
Triple: [Air Mauritius, IATAcode, MK]
Generated description
MK is the two-letter IATA airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MK
Target entity description: MK is the two-letter IATA airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • A. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • B. MK
    MK is the commonly used abbreviation for Umkhonto we Sizwe, the former armed wing of South Africa’s African National Congress during the anti-apartheid struggle.
  • C. MK
    MK is the postal area code designation for Milton Keynes and its surrounding region in the United Kingdom.
  • D. MJ
    MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
  • E. MJ
    MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775707e30819088b311a1a87eee79 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77c260d2c8190bb802ca8ce388a00 completed March 28, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69c77c944bf081909335db68da464b4f completed March 28, 2026, 7 a.m.
Created at: March 27, 2026, 2:34 p.m.