Triple

T14056825
Position Surface form Disambiguated ID Type / Status
Subject M3 E338239 entity
Predicate hasStation P35 FINISHED
Object Østerport station E1078991 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: Østerport station | Statement: [M3, hasStation, Østerport station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østerport station
Context triple: [M3, hasStation, Østerport station]
  • A. Østerport station chosen
    Østerport station is a major railway and S-train hub in central Copenhagen, Denmark, serving regional, intercity, and urban commuter lines.
  • B. 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.
  • C. Fasanvej Station
    Fasanvej Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
  • D. Halethorpe station
    Halethorpe station is a Maryland Area Regional Commuter (MARC) rail stop serving the Penn Line in the Baltimore–Washington metropolitan area.
  • E. Ringsted Station
    Ringsted Station is a key railway hub in the town of Ringsted, Denmark, serving as an important junction for regional and intercity train services.
  • 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_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_69fcd09b7d148190ad9a146121be01f8 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.