Triple
T10752645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQ |
E253609
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Singapore Airlines |
E51597
|
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: Singapore Airlines | Statement: [SQ, identifies, Singapore Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singapore Airlines Context triple: [SQ, identifies, Singapore Airlines]
-
A.
Singapore Airlines
chosen
Singapore Airlines is the flag carrier of Singapore, renowned for its premium service, extensive international network, and consistently high rankings among the world’s best airlines.
-
B.
Singapore Airlines Group
Singapore Airlines Group is a Singapore-based aviation holding company that oversees Singapore Airlines and its related airline and travel subsidiaries.
-
C.
Hong Kong Airlines
Hong Kong Airlines is a Hong Kong-based full-service carrier operating regional and international flights primarily across Asia and the Pacific.
-
D.
Cathay Pacific
Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
-
E.
Malindo Air
Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdb897f7c81909002f2478613eff8 |
completed | April 12, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:15 p.m.