Triple
T14056771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2 (Copenhagen Metro) |
E338238
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Femøren station
Femøren station is an elevated Copenhagen Metro station on the island of Amager serving the residential and recreational areas near Amager Beach Park.
|
E1104325
|
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: Femøren station | Statement: [M2 (Copenhagen Metro), hasStation, Femøren station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Femøren station Context triple: [M2 (Copenhagen Metro), hasStation, Femøren station]
-
A.
Henriksdal station
Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
-
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.
Flintholm station
Flintholm station is a major Copenhagen transport hub that serves both the Metro and S-train networks, facilitating easy transfers between multiple lines.
-
E.
Ensjø station
Ensjø station is an Oslo Metro station in the Ensjø neighborhood of Oslo, Norway, serving as part of 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: Femøren station Triple: [M2 (Copenhagen Metro), hasStation, Femøren station]
Generated description
Femøren station is an elevated Copenhagen Metro station on the island of Amager serving the residential and recreational areas near Amager Beach Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Femøren station Target entity description: Femøren station is an elevated Copenhagen Metro station on the island of Amager serving the residential and recreational areas near Amager Beach Park.
-
A.
Henriksdal station
Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
-
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.
Flintholm station
Flintholm station is a major Copenhagen transport hub that serves both the Metro and S-train networks, facilitating easy transfers between multiple lines.
-
E.
Ensjø station
Ensjø station is an Oslo Metro station in the Ensjø neighborhood of Oslo, Norway, serving as part of 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_69fd7a2fdd7c8190b2ebf5a18c8039f2 |
completed | May 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69fd7b7f7b1c8190b38c5912920e2d9b |
completed | May 8, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7be778dc81908b0602bab944330a |
completed | May 8, 2026, 6 a.m. |
Created at: April 9, 2026, 10:20 p.m.