Triple
T9530126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NWS |
E229866
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | Nordwind Airlines |
E44678
|
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: Nordwind Airlines | Statement: [NWS, assignedTo, Nordwind Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordwind Airlines Context triple: [NWS, assignedTo, Nordwind Airlines]
-
A.
Nordwind Airlines
chosen
Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
-
B.
Rubystar Airways
Rubystar Airways is a Belarusian cargo airline based in Minsk that operates regional and international freight services.
-
C.
SkyUp Airlines
SkyUp Airlines is a Ukrainian low-cost carrier known for operating domestic and international flights across Europe, the Middle East, and other regions.
-
D.
Spring Airlines
Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
-
E.
Globus Airlines
Globus Airlines is a Russian airline that operated passenger services, primarily within Russia and nearby regions, as part of the S7 Group.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b2de3081909be70d9ab187dce6 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c38a3848190ab3561f70497c9eb |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.