Triple
T21404472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severo-Kurilsk Airport |
E527996
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | SWV |
—
|
NE NERFINISHED |
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: SWV | Statement: [Severo-Kurilsk Airport, IATA code, SWV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWV Context triple: [Severo-Kurilsk Airport, IATA code, SWV]
-
A.
SWV
SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
-
B.
SWV
chosen
SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
-
C.
SWU
SWU is the commonly used abbreviation for Southwest University, a comprehensive higher education institution in China.
-
D.
WSV
WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
-
E.
SW
SW is the vehicle registration code used on license plates for vehicles registered in the Schweinfurt district of Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1ade4188190aca09bbbf2c2db87 |
completed | April 22, 2026, 11:31 a.m. |
Created at: April 16, 2026, 5:30 p.m.