Triple

T18597057
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Central Station E454518 entity
Predicate serves P98 FINISHED
Object city of Aarhus E101867 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: city of Aarhus | Statement: [Aarhus Central Station, serves, city of Aarhus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Aarhus
Context triple: [Aarhus Central Station, serves, city of Aarhus]
  • A. Aarhus chosen
    Aarhus is Denmark’s second-largest city, a major cultural and economic center on the Jutland peninsula known for its universities, vibrant arts scene, and historic harbor.
  • B. Aarhus V
    Aarhus V is a district in the western part of Aarhus, Denmark, known for its residential areas and cultural diversity.
  • C. Aalborg
    Aalborg is a major city in northern Denmark known for its historic architecture, vibrant cultural life, and role as a regional economic and educational center.
  • D. Aarhus Municipality
    Aarhus Municipality is a major Danish local government area centered on the city of Aarhus, known for its economic, cultural, and educational significance in eastern Jutland.
  • E. Odense
    Odense is a historic Danish city on the island of Funen, best known as the birthplace of fairy-tale author Hans Christian Andersen and a cultural hub with museums, festivals, and a vibrant literary heritage.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a055bab540c81908571c8b2147a63d2 completed May 14, 2026, 5:20 a.m.
Created at: April 10, 2026, 11:44 a.m.