Triple

T7591454
Position Surface form Disambiguated ID Type / Status
Subject Fyn E179743 entity
Predicate hasMainPort P942 FINISHED
Object Odense Harbour E638287 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: Odense Harbour | Statement: [Fyn, hasMainPort, Odense Harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odense Harbour
Context triple: [Fyn, hasMainPort, Odense Harbour]
  • A. Korsør Harbour
    Korsør Harbour is a Danish port on the Great Belt known historically as a strategic maritime hub and naval base area.
  • 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 Odense chosen
    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. Ennore Port
    Ennore Port, now known as Kamarajar Port, is a major all-weather, coal-handling seaport located near Chennai on the eastern coast of India.
  • E. Copenhagen Malmö Port
    Copenhagen Malmö Port is a major transnational port operator that manages and develops the combined harbor facilities of Copenhagen in Denmark and Malmö in Sweden, serving as a key hub for cargo, cruise, and ferry traffic in the Øresund 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b746ac8190b255afdfb9635f72 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86192b5d88190b0a02cf303462bfb completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.