Triple
T3795500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysia Aviation Group |
E89758
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | MASwings |
E389539
|
NE 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: MASwings | Statement: [Malaysia Aviation Group, brand, MASwings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MASwings Context triple: [Malaysia Aviation Group, brand, MASwings]
-
A.
MASwings
chosen
MASwings is a regional airline based in Malaysia that primarily operates domestic and short-haul services within East Malaysia and surrounding areas.
-
B.
MASwings Sdn Bhd
MASwings Sdn Bhd is a Malaysian regional airline specializing in rural air services, particularly within Sabah and Sarawak on the island of Borneo.
-
C.
ANA Wings
ANA Wings is a Japanese regional airline operating domestic feeder and short-haul services on behalf of All Nippon Airways.
-
D.
The Ninety-Nines
The Ninety-Nines is an international organization of women pilots founded in 1929 to support and promote women in aviation, with Amelia Earhart as one of its earliest and most famous members.
-
E.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_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_69b4fb232650819089feed9d5bb8c91a |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.