Triple
T11498349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Næstved |
E272601
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Næstved Nord Station
Næstved Nord Station is a railway station serving the northern part of the town of Næstved in Denmark.
|
E929714
|
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: Næstved Nord Station | Statement: [Næstved, hasRailwayStation, Næstved Nord Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Næstved Nord Station Context triple: [Næstved, hasRailwayStation, Næstved Nord Station]
-
A.
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.
-
B.
Fasanvej Station
Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
-
C.
Vejle Station
Vejle Station is the main railway station in the Danish city of Vejle, serving as a regional and intercity transport hub in Jutland.
-
D.
Hillerød Station
Hillerød Station is a major railway and S-train hub in Hillerød, Denmark, serving as an important transit point for regional and commuter rail services north of Copenhagen.
-
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: Næstved Nord Station Triple: [Næstved, hasRailwayStation, Næstved Nord Station]
Generated description
Næstved Nord Station is a railway station serving the northern part of the town of Næstved in Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Næstved Nord Station Target entity description: Næstved Nord Station is a railway station serving the northern part of the town of Næstved in Denmark.
-
A.
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.
-
B.
Fasanvej Station
Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
-
C.
Vejle Station
Vejle Station is the main railway station in the Danish city of Vejle, serving as a regional and intercity transport hub in Jutland.
-
D.
Hillerød Station
Hillerød Station is a major railway and S-train hub in Hillerød, Denmark, serving as an important transit point for regional and commuter rail services north of Copenhagen.
-
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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624d666c081908253cea4e2da1a4a |
completed | April 20, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:36 p.m.