Triple

T12534276
Position Surface form Disambiguated ID Type / Status
Subject Frederiksberg Campus E299647 entity
Predicate metroAccess P81720 FINISHED
Object Frederiksberg Allé station E889182 NE FINISHED

How this triple was built (3 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: Frederiksberg Allé station | Statement: [Frederiksberg Campus, metroAccess, Frederiksberg Allé station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederiksberg Allé station
Context triple: [Frederiksberg Campus, metroAccess, Frederiksberg Allé station]
  • A. Frederiksberg Station
    Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
  • B. Fasanvej Station chosen
    Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
  • C. 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.
  • D. Grefsen station
    Grefsen station is a railway station in Oslo, Norway, serving the Gjøvik Line and providing local and regional train connections for the Nordre Aker district.
  • E. Forskningsparken station
    Forskningsparken station is a metro and tram stop in Oslo, Norway, located near the University of Oslo and several research institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metroAccess
Context triple: [Frederiksberg Campus, metroAccess, Frederiksberg Allé station]
  • A. subwayStation
    Indicates that one entity is a subway station associated with, located in, or serving the other entity.
  • B. railAccessModel
    Indicates the type or pattern of how rail infrastructure or services are accessed or connected between locations or entities.
  • C. hasSubwayStationEntrance chosen
    Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
  • D. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • E. subwayServices
    Indicates that one entity provides or operates subway transportation services for another entity or area.
  • F. None of above.

Provenance (4 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc9b9ec8190a25e2658d79836bc completed May 2, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69d9540d7b788190a0d57b098e90e491 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.