Triple
T17422268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasilla, Alaska |
E423644
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Wasilla Airport |
—
|
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: Wasilla Airport | Statement: [Wasilla, Alaska, hasAirport, Wasilla Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasilla Airport Context triple: [Wasilla, Alaska, hasAirport, Wasilla Airport]
-
A.
Wasilla Airport
chosen
Wasilla Airport is a public general aviation airport serving the city of Wasilla in Alaska, United States.
-
B.
E. T. Joshua Airport
E. T. Joshua Airport was the former main airport serving Saint Vincent and the Grenadines before being replaced by Argyle International Airport.
-
C.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
D.
Fascene Airport
Fascene Airport is the main international airport serving the island of Nosy Be in northwestern Madagascar, handling both domestic and tourist flights.
-
E.
Sky Harbor Airport
Sky Harbor Airport is a major international airport serving the Phoenix metropolitan area in Arizona and one of the busiest air travel hubs in the United States.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44237f2cc819083ca0e7e00d828fb |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.