Triple
T18269905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEST |
E437578
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Tiksi 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: Tiksi Airport | Statement: [UEST, identifies, Tiksi Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiksi Airport Context triple: [UEST, identifies, Tiksi Airport]
-
A.
Tiksi Airport
chosen
Tiksi Airport is a remote Arctic airport in northern Russia that serves the settlement of Tiksi and functions as a key regional and military airfield in the Sakha Republic.
-
B.
Landvetter Airport
Landvetter Airport is an international airport serving the Gothenburg region in western Sweden and is one of the country’s major aviation hubs.
-
C.
Helsinki Airport
Helsinki Airport is Finland’s main international air hub, located near Helsinki and serving as a major gateway between Europe and Asia.
-
D.
Turku Airport
Turku Airport is an international airport in southwestern Finland serving the city of Turku and the surrounding region with passenger and cargo flights.
-
E.
Tampere–Pirkkala Airport
Tampere–Pirkkala Airport is a Finnish international airport serving the Tampere region, handling both civilian air traffic and military operations.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7d4f88819084123ed6c9e7e5b8 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.