Triple
T12213615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rybinsk |
E291027
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Staroselye Airport
Staroselye Airport is a regional airport serving the city of Rybinsk in Yaroslavl Oblast, Russia.
|
E969504
|
NE FINISHED |
How this triple was built (4 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: Staroselye Airport | Statement: [Rybinsk, hasAirport, Staroselye Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Staroselye Airport Context triple: [Rybinsk, hasAirport, Staroselye Airport]
-
A.
Sokol Airport
Sokol Airport is the main airport serving the city of Magadan in Russia’s Far East, handling both domestic and limited international flights.
-
B.
Khrabrovo Airport
Khrabrovo Airport is the main civilian airport serving the Russian exclave of Kaliningrad and its surrounding region.
-
C.
Shosseynaya Airport
Shosseynaya Airport was the original name of what is now known as Pulkovo Airport, the main international airport serving Saint Petersburg, Russia.
-
D.
Yelizovo Airport
Yelizovo Airport is the main civil and military airport serving the city of Petropavlovsk-Kamchatsky and the Kamchatka Peninsula in Russia.
-
E.
Ostafyevo International Airport
Ostafyevo International Airport is a Moscow-area airport that serves both civilian and business aviation and functions as a key base for the Russian airline Gazpromavia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Staroselye Airport Triple: [Rybinsk, hasAirport, Staroselye Airport]
Generated description
Staroselye Airport is a regional airport serving the city of Rybinsk in Yaroslavl Oblast, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Staroselye Airport Target entity description: Staroselye Airport is a regional airport serving the city of Rybinsk in Yaroslavl Oblast, Russia.
-
A.
Sokol Airport
Sokol Airport is the main airport serving the city of Magadan in Russia’s Far East, handling both domestic and limited international flights.
-
B.
Khrabrovo Airport
Khrabrovo Airport is the main civilian airport serving the Russian exclave of Kaliningrad and its surrounding region.
-
C.
Shosseynaya Airport
Shosseynaya Airport was the original name of what is now known as Pulkovo Airport, the main international airport serving Saint Petersburg, Russia.
-
D.
Yelizovo Airport
Yelizovo Airport is the main civil and military airport serving the city of Petropavlovsk-Kamchatsky and the Kamchatka Peninsula in Russia.
-
E.
Ostafyevo International Airport
Ostafyevo International Airport is a Moscow-area airport that serves both civilian and business aviation and functions as a key base for the Russian airline Gazpromavia.
- F. None of above. chosen
Provenance (5 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c931cec819083ca19be06a33e1c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa13f64819096dc23295a6f0cdb |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdca250819090b4b4cc84d343f4 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd51d34819099927fee476958ea |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:51 p.m.