Triple

T8571532
Position Surface form Disambiguated ID Type / Status
Subject North Sea ports E202936 entity
Predicate hasPart P35 FINISHED
Object Port of Aalborg E742148 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: Port of Aalborg | Statement: [North Sea ports, hasPart, Port of Aalborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Aalborg
Context triple: [North Sea ports, hasPart, Port of Aalborg]
  • A. Port of Aalborg chosen
    The Port of Aalborg is a major Danish commercial and industrial seaport serving the city of Aalborg and the surrounding North Jutland region.
  • B. Port of Aarhus
    The Port of Aarhus is Denmark’s largest container port and a major commercial and logistics hub on the country’s east coast.
  • C. 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.
  • D. 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.
  • 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 (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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea4223888190a56d9026ae0b9ec0 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea88464b88190983e22e70bf38e63 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:21 p.m.