Triple
T1946868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheremetyevo International Airport |
E42072
|
entity |
| Predicate | hasPassengerRailLink |
P522
|
FINISHED |
| Object | Aeroexpress |
E40632
|
NE FINISHED |
How this triple was built (3 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: Aeroexpress | Statement: [Sheremetyevo International Airport, hasPassengerRailLink, Aeroexpress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeroexpress Context triple: [Sheremetyevo International Airport, hasPassengerRailLink, Aeroexpress]
-
A.
Aeroexpress train
chosen
The Aeroexpress train is a dedicated high-speed rail service that connects central Moscow with major airports, including Domodedovo International Airport.
-
B.
Capital Airport Express
Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
-
C.
Leonardo Express train
The Leonardo Express train is a dedicated non-stop rail service linking central Rome’s Termini station with Fiumicino Airport, providing a fast and frequent airport transfer for travelers.
-
D.
Heathrow Express
Heathrow Express is a non-stop high-speed train service linking London Paddington station with Heathrow Airport, providing one of the fastest rail connections between central London and the airport.
-
E.
AeroTrain
AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerRailLink Context triple: [Sheremetyevo International Airport, hasPassengerRailLink, Aeroexpress]
-
A.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
-
B.
hasRailSystem
chosen
Indicates that an entity possesses or is served by a rail-based transportation system.
-
C.
usesRailInfrastructureOf
Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
hasMajorRailwayStation
Indicates that a place contains or is served by a principal railway station that functions as a major hub for rail transport.
- F. None of above.
Provenance (4 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbbf724081909b24680d483edbd1 |
completed | March 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.