Triple

T18764437
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Bay E458856 entity
Predicate hasPort P35 FINISHED
Object Port of Aarhus NE NERFINISHED

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: Port of Aarhus | Statement: [Aarhus Bay, hasPort, Port of Aarhus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Aarhus
Context triple: [Aarhus Bay, hasPort, Port of Aarhus]
  • A. Port of Aarhus chosen
    The Port of Aarhus is Denmark’s largest container port and a major commercial and logistics hub on the country’s east coast.
  • B. Port of Aalborg
    The Port of Aalborg is a major Danish commercial and industrial seaport serving the city of Aalborg and the surrounding North Jutland region.
  • C. Port of Odense
    The Port of Odense is a major Danish commercial and industrial seaport on the island of Funen, known for shipbuilding, offshore wind activities, and maritime logistics.
  • D. Port of Esbjerg
    The Port of Esbjerg is a major Danish North Sea harbor and logistics hub, particularly known as a leading center for offshore wind and energy activities in Europe.
  • E. Port of Grenaa
    The Port of Grenaa is a significant Danish commercial and industrial seaport on the east coast of the Jutland peninsula, serving as a key hub for cargo, ferry traffic, and offshore-related activities in the Kattegat region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d82297c81909f720e2637cec737 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.