Triple
T106186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luftbrücke |
E2141
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object | Tegel Airport |
E2522
|
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: Tegel Airport | Statement: [Luftbrücke, uses, Tegel Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegel Airport Context triple: [Luftbrücke, uses, Tegel Airport]
-
A.
Tegel
chosen
Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
-
B.
Tempelhof Airport
Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
-
C.
Domodedovo International Airport
Domodedovo International Airport is one of Moscow’s major international airports and a key air transport hub in Russia.
-
D.
Washington Dulles International Airport
Washington Dulles International Airport is a major international airport serving the Washington, D.C. metropolitan area, known for its extensive global flight network and iconic Eero Saarinen–designed terminal.
-
E.
Vnukovo International Airport
Vnukovo International Airport is one of Moscow’s major international airports, serving as a key hub for both domestic and international flights in Russia.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256c96e5481908c67f69e99978292 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27c030ddc8190af2ebb672237bf18 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.