Triple
T5362671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vistara |
E103057
|
entity |
| Predicate | parentOrganization |
P254
|
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: [Vistara, parentOrganization, Singapore Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singapore Airlines Context triple: [Vistara, parentOrganization, 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.
Cathay Pacific
Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
-
D.
Jin Air
Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
-
E.
EVA Air
EVA Air is a major Taiwanese international airline known for its extensive global route network, high service standards, and innovative themed flights such as its Hello Kitty jets.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865b9b808190a1e8c283ba28d645 |
completed | March 20, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29205b188190a19cacbded1d5418 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.