Triple

T10824742
Position Surface form Disambiguated ID Type / Status
Subject Frederiksberg E255466 entity
Predicate hasMetroStation P522 FINISHED
Object Fasanvej Station
Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
E889182 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: Fasanvej Station | Statement: [Frederiksberg, hasMetroStation, Fasanvej Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fasanvej Station
Context triple: [Frederiksberg, hasMetroStation, Fasanvej Station]
  • A. 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.
  • B. Frederiksberg Station
    Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
  • 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. Herning Station
    Herning Station is the main railway station serving the town of Herning in central Jutland, Denmark, functioning as a regional transport hub.
  • 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: Fasanvej Station
Triple: [Frederiksberg, hasMetroStation, Fasanvej Station]
Generated description
Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fasanvej Station
Target entity description: Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
  • A. 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.
  • B. Frederiksberg Station
    Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
  • 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. Herning Station
    Herning Station is the main railway station serving the town of Herning in central Jutland, Denmark, functioning as a regional transport hub.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d0389c819090a892693c4046ed completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1096cbc81908f3eda562c2da042 completed April 14, 2026, 9:26 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.