Triple
T16835239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9M-MRD |
E409256
|
entity |
| Predicate | aircraftMarkings |
P29893
|
FINISHED |
| Object | Malaysia Airlines livery |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Malaysia Airlines livery | Statement: [9M-MRD, aircraftMarkings, Malaysia Airlines livery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftMarkings Context triple: [9M-MRD, aircraftMarkings, Malaysia Airlines livery]
-
A.
aircraftMarking
chosen
Indicates a relationship where a marking, symbol, or identifier is applied to or displayed on an aircraft.
-
B.
coatMarkings
Indicates how an entity’s coat is patterned or marked, such as stripes, spots, or other distinctive visual markings.
-
C.
hasWingMarkings
Indicates that an entity possesses visible markings or patterns on its wings.
-
D.
aircraftRegistration
Indicates that an aircraft is assigned a specific official registration identifier or code.
-
E.
notableAircraftCallsign
Indicates that a particular aircraft is notably associated with, or commonly identified by, a specific callsign.
- F. None of above.
Provenance (3 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31aa44c8190b4f402f1898e6998 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.