Triple
T14151554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nørreport |
E350693
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Danish State Railways |
E1079506
|
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: Danish State Railways | Statement: [Nørreport, operator, Danish State Railways]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danish State Railways Context triple: [Nørreport, operator, Danish State Railways]
-
A.
Danske Statsbaner
chosen
Danske Statsbaner is Denmark’s largest state-owned railway company, responsible for most passenger train services across the country.
-
B.
Norwegian State Railways
Norwegian State Railways was Norway’s former government-owned railway company responsible for most passenger train services and rail operations across the country.
-
C.
Finland Railway
Finland Railway was a historical railway company that operated key lines in the Russian Empire, including the route terminating at Saint Petersburg’s Finland Station.
-
D.
Metro Service A/S
Metro Service A/S is the company responsible for operating and managing the Copenhagen Metro system in Denmark.
-
E.
Aarhus Letbane
Aarhus Letbane is a light rail transit system serving the city of Aarhus and surrounding areas in Denmark.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2802ba608190849313ff2661cd07 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 12:57 a.m.