Triple
T21685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Dulles International Airport |
E430
|
entity |
| Predicate | isMajorGatewayFor |
P1179
|
FINISHED |
| Object | transatlantic flights |
—
|
LITERAL 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: transatlantic flights | Statement: [Washington Dulles International Airport, isMajorGatewayFor, transatlantic flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorGatewayFor Context triple: [Washington Dulles International Airport, isMajorGatewayFor, transatlantic flights]
-
A.
isMajorRouteFor
chosen
Indicates that something serves as a primary or heavily used pathway or channel for the movement or flow of something else.
-
B.
hasMajorPort
Indicates that a location possesses a primary, significant seaport used for major commercial or transportation activities.
-
C.
hasMajorBranch
Indicates that one entity possesses or includes another entity as a primary or principal subdivision or branch.
-
D.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
E.
isRailHubFor
Indicates that a location functions as a central node or interchange point within a rail network for the referenced area, routes, or services.
- F. None of above.
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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246e94ca881908f7a7d2c0b293033 |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24654724481909ba14b7f68d2a472 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.