Triple
T14056726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 (Copenhagen Metro) |
E338237
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
DR Byen station
DR Byen station is a Copenhagen Metro station serving the DR Byen media complex and surrounding areas on the M1 line.
|
E1094148
|
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: DR Byen station | Statement: [M1 (Copenhagen Metro), hasStation, DR Byen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DR Byen station Context triple: [M1 (Copenhagen Metro), hasStation, DR Byen station]
-
A.
Henriksdal station
Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
-
B.
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.
-
C.
Midtstuen station
Midtstuen station is a stop on Oslo’s Holmenkollen Line of the Oslo Metro, serving the hillside residential areas northwest of the city center.
-
D.
Frederiksberg Station
Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
-
E.
Drammen Station
Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
- 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: DR Byen station Triple: [M1 (Copenhagen Metro), hasStation, DR Byen station]
Generated description
DR Byen station is a Copenhagen Metro station serving the DR Byen media complex and surrounding areas on the M1 line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DR Byen station Target entity description: DR Byen station is a Copenhagen Metro station serving the DR Byen media complex and surrounding areas on the M1 line.
-
A.
Henriksdal station
Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
-
B.
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.
-
C.
Midtstuen station
Midtstuen station is a stop on Oslo’s Holmenkollen Line of the Oslo Metro, serving the hillside residential areas northwest of the city center.
-
D.
Frederiksberg Station
Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
-
E.
Drammen Station
Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
- 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_69fd466febb88190986eb8f033d29279 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.