Triple
T19033730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilnius Airport |
E465809
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Vilniaus oro uostas |
—
|
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: Vilniaus oro uostas | Statement: [Vilnius Airport, hasNativeName, Vilniaus oro uostas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilniaus oro uostas Context triple: [Vilnius Airport, hasNativeName, Vilniaus oro uostas]
-
A.
Vilnius Airport
chosen
Vilnius Airport is the main international airport serving Lithuania’s capital, handling the majority of the region’s passenger and air traffic.
-
B.
Kaunas Airport
Kaunas Airport is an international airport in Lithuania serving the city of Kaunas and functioning as one of the country’s main commercial and low-cost airline hubs.
-
C.
Palanga Airport
Palanga Airport is a regional international airport in western Lithuania serving the coastal resort city of Palanga and the surrounding Baltic Sea region.
-
D.
Zarasai
Zarasai is a small town in northeastern Lithuania known for its lakes and scenic natural surroundings.
-
E.
Vilnius railway station
Vilnius railway station is the main passenger and freight rail hub of Lithuania’s capital, serving as a key national and international transport gateway.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.