Triple

T14100722
Position Surface form Disambiguated ID Type / Status
Subject Øresund Line E339371 entity
Predicate hasStation P35 FINISHED
Object Ørestad station E1094149 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: Ørestad station | Statement: [Øresund Line, hasStation, Ørestad station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ørestad station
Context triple: [Øresund Line, hasStation, Ørestad station]
  • A. Ørestad station chosen
    Ørestad station is a major transport hub in Copenhagen’s Ørestad district, combining a Copenhagen Metro stop with regional and local train services.
  • B. Frederiksberg Station
    Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
  • C. Nørreport station
    Nørreport station is one of Copenhagen’s busiest central transport hubs, serving as a major interchange for metro, regional, and S-train services.
  • D. Amagerbro station
    Amagerbro station is an underground Copenhagen Metro station on the island of Amager serving the Amagerbro district with rapid transit connections to the city center and surrounding areas.
  • E. Amager Strand station
    Amager Strand station is a Copenhagen Metro station on the island of Amager serving the coastal Amager Strandpark beach and surrounding residential areas.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
Created at: April 9, 2026, 10:22 p.m.