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.