Triple

T12534277
Position Surface form Disambiguated ID Type / Status
Subject Frederiksberg Campus E299647 entity
Predicate metroAccess P81720 FINISHED
Object Fasanvej station E889182 NE FINISHED

How this triple was built (2 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 Campus, metroAccess, Fasanvej station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fasanvej station
Context triple: [Frederiksberg Campus, metroAccess, Fasanvej station]
  • A. Fasanvej Station chosen
    Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
  • B. 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.
  • C. 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.
  • D. Frederiksberg Station
    Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d960c2e5b88190a7cc16002b218d8a completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.