Triple
T11923758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukwila International Boulevard Station |
E283727
|
entity |
| Predicate | isKeyAirportAccessPoint |
P71074
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tukwila International Boulevard Station, isKeyAirportAccessPoint, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyAirportAccessPoint Context triple: [Tukwila International Boulevard Station, isKeyAirportAccessPoint, yes]
-
A.
isPublicAirport
Indicates that an airport is open for use by the general public rather than restricted to private or military operations.
-
B.
hasKeyAirport
chosen
Indicates that a location or region possesses a primary or strategically important airport that serves as a major access point or hub.
-
C.
airportAccessMode
Indicates the typical mode or method of transportation used to access or reach an airport.
-
D.
isPassengerAirport
Indicates that an airport primarily serves commercial passenger air traffic rather than cargo or other specialized operations.
-
E.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.