Triple
T20798291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trønderbanen |
E511970
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Marienborg
Marienborg is a railway station in Trondheim, Norway, serving local and regional trains on the Trønderbanen line.
|
E1453270
|
NE FINISHED |
How this triple was built (4 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: Marienborg | Statement: [Trønderbanen, hasStation, Marienborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marienborg Context triple: [Trønderbanen, hasStation, Marienborg]
-
A.
Marienborg
Marienborg is the official country residence of Denmark’s prime minister, used for governmental meetings and official functions outside central Copenhagen.
-
B.
Christiansted
Christiansted is a historic coastal town on the island of Saint Croix in the U.S. Virgin Islands, known for its preserved Danish colonial architecture and waterfront.
-
C.
Skanderborg
Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
-
D.
Padborg
Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
-
E.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marienborg Triple: [Trønderbanen, hasStation, Marienborg]
Generated description
Marienborg is a railway station in Trondheim, Norway, serving local and regional trains on the Trønderbanen line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marienborg Target entity description: Marienborg is a railway station in Trondheim, Norway, serving local and regional trains on the Trønderbanen line.
-
A.
Marienborg
Marienborg is the official country residence of Denmark’s prime minister, used for governmental meetings and official functions outside central Copenhagen.
-
B.
Christiansted
Christiansted is a historic coastal town on the island of Saint Croix in the U.S. Virgin Islands, known for its preserved Danish colonial architecture and waterfront.
-
C.
Skanderborg
Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
-
D.
Padborg
Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
-
E.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
- F. None of above. chosen
Provenance (5 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ae2c4c819087f620df31dc1aba |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090af516888190a8ec410d45f8a65d |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090b962adc8190b9a9353acdcc908e |
completed | May 17, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090be46044819095f7eeeaba74fb97 |
completed | May 17, 2026, 12:29 a.m. |
Created at: April 16, 2026, 12:39 p.m.