Triple
T7813699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flughafen Berlin Brandenburg GmbH |
E180747
|
entity |
| Predicate | hasMainAsset |
P7589
|
FINISHED |
| Object | Berlin Brandenburg Airport Terminal 1 |
E34245
|
NE FINISHED |
How this triple was built (3 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: Berlin Brandenburg Airport Terminal 1 | Statement: [Flughafen Berlin Brandenburg GmbH, hasMainAsset, Berlin Brandenburg Airport Terminal 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Brandenburg Airport Terminal 1 Context triple: [Flughafen Berlin Brandenburg GmbH, hasMainAsset, Berlin Brandenburg Airport Terminal 1]
-
A.
Berlin Brandenburg Airport
chosen
Berlin Brandenburg Airport is the main international airport serving Germany’s capital region, designed to replace and consolidate Berlin’s former commercial airports.
-
B.
Berlin Schönefeld Airport
Berlin Schönefeld Airport was Berlin’s former secondary international airport located southeast of the city, which was eventually incorporated into the new Berlin Brandenburg Airport complex.
-
C.
Tempelhof Airport
Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
-
D.
Schönefeld
Schönefeld is a municipality just southeast of Berlin in the German state of Brandenburg, known for hosting the Berlin Brandenburg Airport.
-
E.
Tegel
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainAsset Context triple: [Flughafen Berlin Brandenburg GmbH, hasMainAsset, Berlin Brandenburg Airport Terminal 1]
-
A.
hasMajorAsset
chosen
Indicates that an entity possesses or controls a primary or most significant asset.
-
B.
hasAsset
Indicates that one entity possesses, owns, or controls another entity as an asset.
-
C.
hasMainSource
Indicates that one entity serves as the primary or principal source or origin for another entity.
-
D.
hasMainImageSource
Indicates that an entity is associated with a primary image file or URL that serves as its main visual representation.
-
E.
hasPrimaryAssetLocation
Indicates that an entity’s main or principal asset is located at a specified place or facility.
- F. None of above.
Provenance (4 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78f3d6481909841d64117f657e1 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc01e1b88190817a73e580cf4f03 |
completed | April 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:38 p.m.