Triple
T8102536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cologne Bonn Airport |
E189148
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | DHL Aviation |
E177498
|
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: DHL Aviation | Statement: [Cologne Bonn Airport, isHubFor, DHL Aviation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DHL Aviation Context triple: [Cologne Bonn Airport, isHubFor, DHL Aviation]
-
A.
DHL Aviation
chosen
DHL Aviation is the air cargo division of DHL, operating a global network of freight flights that connect major logistics hubs worldwide.
-
B.
Airbus Transport International
Airbus Transport International is a specialized cargo airline that operates Airbus Beluga aircraft to transport oversized aircraft components and other outsize freight for Airbus and its partners.
-
C.
Cargolux
Cargolux is a major Luxembourg-based cargo airline and one of the world’s leading dedicated freight carriers.
-
D.
Lufthansa Cargo
Lufthansa Cargo is the air freight and logistics division of the Lufthansa Group, operating a global network for transporting cargo by air.
-
E.
Lynden Air Cargo
Lynden Air Cargo is an American cargo airline based in Alaska that specializes in operating Hercules aircraft to provide freight services to remote and challenging destinations worldwide.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42bd91408190880293dfdce8bef7 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc642095a08190bcf90e6470e127cc |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:31 p.m.