Triple
T8735332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essling |
E207367
|
entity |
| Predicate | hasNearbyAirport |
P4363
|
FINISHED |
| Object | Vienna International Airport |
E56332
|
NE 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: Vienna International Airport | Statement: [Essling, hasNearbyAirport, Vienna International Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna International Airport Context triple: [Essling, hasNearbyAirport, Vienna International Airport]
-
A.
Vienna International Airport
chosen
Vienna International Airport is Austria’s largest and busiest airport, serving as the primary international gateway to Vienna and a major hub for Central and Eastern Europe.
-
B.
Salzburg Airport
Salzburg Airport is an international airport in western Austria serving the city of Salzburg and the surrounding region, including nearby towns such as Anif.
-
C.
Linz Airport
Linz Airport is the main international airport serving the city of Linz and the surrounding Upper Austria region.
-
D.
Graz Airport
Graz Airport is an international airport in southeastern Austria serving the city of Graz and the surrounding Styria region.
-
E.
Munich Airport
Munich Airport is a major international aviation hub in Bavaria, Germany, serving as one of the country’s busiest airports and a key base for Lufthansa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2b89988190bb7671e273026046 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2936f84081908cf91f1dc9a4d27f |
completed | April 3, 2026, 2:43 a.m. |
Created at: March 30, 2026, 6:37 p.m.