Triple
T3259476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Copenhagen |
E68374
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Copenhagen Airport |
E67497
|
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: Copenhagen Airport | Statement: [Port of Copenhagen, connectsTo, Copenhagen Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copenhagen Airport Context triple: [Port of Copenhagen, connectsTo, Copenhagen Airport]
-
A.
Copenhagen Airport Kastrup
chosen
Copenhagen Airport Kastrup is Denmark’s largest and busiest international airport, serving as the main air hub for Copenhagen and much of Scandinavia.
-
B.
Bern Airport
Bern Airport is a small regional airport in Switzerland serving the city of Bern and offering domestic and limited international flights.
-
C.
Aalborg Airport
Aalborg Airport is an international airport in northern Denmark serving the city of Aalborg and the surrounding region with domestic and European flights.
-
D.
Oslo Airport, Gardermoen
Oslo Airport, Gardermoen is Norway’s main international airport and the primary aviation hub serving the Oslo region.
-
E.
Bergen Airport, Flesland
Bergen Airport, Flesland is the main international airport serving the city of Bergen and western Norway, handling both domestic and international flights.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adafa4f40c81909adfd0f7f568e3ce |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3341597448190805ff43effb9070c |
completed | March 12, 2026, 9:45 p.m. |
Created at: March 8, 2026, 3:09 p.m.