Triple

T14818731
Position Surface form Disambiguated ID Type / Status
Subject Ørestad E348386 entity
Predicate servedBy P82 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: [Ørestad, servedBy, Ørestad Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ørestad Station
Context triple: [Ørestad, servedBy, 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. Hellerup Station
    Hellerup Station is a major railway and S-train hub in the northern part of Copenhagen, Denmark, serving as an important interchange for regional and commuter rail services.
  • C. Copenhagen Central Station
    Copenhagen Central Station is the main railway hub of Copenhagen, Denmark, serving as a major national and international transit center for trains, buses, and local transport.
  • D. Frederiksberg Station
    Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
  • E. Tårnby station
    Tårnby station is a railway station in Tårnby, Denmark, serving as a stop on the Copenhagen-area commuter and regional rail network.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce36ce08190930e791e2837d1a5 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 1:50 a.m.