Triple
T14056711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 (Copenhagen Metro) |
E338237
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Vanløse station
Vanløse station is a major public transport hub in Copenhagen that serves as an interchange between the S-train network and the Copenhagen Metro.
|
E1082999
|
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: Vanløse station | Statement: [M1 (Copenhagen Metro), terminus, Vanløse station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanløse station Context triple: [M1 (Copenhagen Metro), terminus, Vanløse station]
-
A.
Fasanvej Station
Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
-
B.
Lindevang Station
Lindevang Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
-
C.
Værnes Station
Værnes Station is a railway station in Stjørdal, Norway, serving passengers traveling to and from Trondheim Airport, Værnes.
-
D.
Næstved Station
Næstved Station is the main railway station serving the town of Næstved in southern Denmark, functioning as a regional transport hub connecting it to other parts of the country.
-
E.
Rødtvet station
Rødtvet station is a metro stop in Oslo, Norway, located in the Grorud district and integrated into the city's rapid transit network.
- 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: Vanløse station Triple: [M1 (Copenhagen Metro), terminus, Vanløse station]
Generated description
Vanløse station is a major public transport hub in Copenhagen that serves as an interchange between the S-train network and the Copenhagen Metro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanløse station Target entity description: Vanløse station is a major public transport hub in Copenhagen that serves as an interchange between the S-train network and the Copenhagen Metro.
-
A.
Fasanvej Station
Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
-
B.
Lindevang Station
Lindevang Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
-
C.
Værnes Station
Værnes Station is a railway station in Stjørdal, Norway, serving passengers traveling to and from Trondheim Airport, Værnes.
-
D.
Næstved Station
Næstved Station is the main railway station serving the town of Næstved in southern Denmark, functioning as a regional transport hub connecting it to other parts of the country.
-
E.
Rødtvet station
Rødtvet station is a metro stop in Oslo, Norway, located in the Grorud district and integrated into the city's rapid transit network.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8e6d008190af8892f34c5cefbd |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7da9414819094d81e5a6ac9fbf9 |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fcf8ab75e48190b6214d5d98b235f8 |
completed | May 7, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcf90e069c8190804019fa0cfaad8f |
completed | May 7, 2026, 8:41 p.m. |
Created at: April 9, 2026, 10:20 p.m.