Triple
T16058526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MASwings Sdn Bhd |
E389545
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | MASWINGS |
E1191845
|
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: [MASwings Sdn Bhd, callsign, MASWINGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MASWINGS Context triple: [MASwings Sdn Bhd, callsign, MASWINGS]
-
A.
MASWINGS
chosen
MASWINGS is a regional airline based in Malaysia that primarily operates domestic and short-haul flights within East Malaysia and nearby regions.
-
B.
Shoop
"Shoop" is a 1993 hit hip hop single by Salt-N-Pepa known for its catchy hook and playful, female-empowering lyrics.
-
C.
Boogie Street
Boogie Street is a song co-written and performed by Sharon Robinson, best known for its prominent collaboration with Leonard Cohen.
-
D.
Mambo Kingz
Mambo Kingz is a Latin music production duo known for crafting reggaeton and urban hits for top artists in the Spanish-speaking music scene.
-
E.
Zumanity
Zumanity is an adults-only, cabaret-style Cirque du Soleil production that blends eroticism, acrobatics, and burlesque in an intimate theatrical setting.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837634248190a99cc454ad1e99e0 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47a92608190993fe7f2c5957019 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.