Triple
T3795518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysia Aviation Group |
E89758
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MAG
MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
|
E389549
|
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: MAG | Statement: [Malaysia Aviation Group, abbreviation, MAG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAG Context triple: [Malaysia Aviation Group, abbreviation, MAG]
-
A.
MAG
MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
-
B.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
C.
CMAG
CMAG is the abbreviated name for the Commonwealth Ministerial Action Group, a body of foreign ministers that addresses serious or persistent violations of Commonwealth political values by member states.
-
D.
MAG-39
MAG-39 is a United States Marine Corps aviation unit that provides helicopter and tiltrotor support for Marine Air-Ground Task Force operations.
-
E.
FN MAG
The FN MAG is a Belgian-designed 7.62×51mm NATO general-purpose machine gun widely used by military forces around the world for its reliability and versatility in both infantry and vehicle-mounted roles.
- 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: MAG Triple: [Malaysia Aviation Group, abbreviation, MAG]
Generated description
MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MAG Target entity description: MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
-
A.
MAG
MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
-
B.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
C.
CMAG
CMAG is the abbreviated name for the Commonwealth Ministerial Action Group, a body of foreign ministers that addresses serious or persistent violations of Commonwealth political values by member states.
-
D.
MAG-39
MAG-39 is a United States Marine Corps aviation unit that provides helicopter and tiltrotor support for Marine Air-Ground Task Force operations.
-
E.
FN MAG
The FN MAG is a Belgian-designed 7.62×51mm NATO general-purpose machine gun widely used by military forces around the world for its reliability and versatility in both infantry and vehicle-mounted roles.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee79f09bc8190b7514a11a030eba5 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05ea5e081908c4714ca35aed48b |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f2ed663c8190be431c7aae60259e |
completed | March 14, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f72eba988190acb96b44fc8b7c30 |
completed | March 14, 2026, 5:50 a.m. |
Created at: March 9, 2026, 3:15 p.m.