Triple

T12001390
Position Surface form Disambiguated ID Type / Status
Subject Kotka E285670 entity
Predicate hasPort P35 FINISHED
Object Port of Kotka E524652 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 Kotka | Statement: [Kotka, hasPort, Port of Kotka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Kotka
Context triple: [Kotka, hasPort, Port of Kotka]
  • A. Port of Kotka chosen
    The Port of Kotka is a major Finnish seaport on the Gulf of Finland that serves as an important hub for international cargo traffic and logistics.
  • B. Port of Kokkola
    The Port of Kokkola is a major Finnish seaport on the Gulf of Bothnia that serves as an important hub for bulk cargo, industry, and international trade.
  • C. Port of Pori
    The Port of Pori is a significant Finnish seaport on the west coast that serves as an important hub for the country’s maritime trade and cargo traffic.
  • D. Port of Turku
    The Port of Turku is a major Finnish seaport on the Baltic Sea that serves as an important hub for passenger ferries and cargo traffic between Finland and other Northern European countries.
  • E. Port of Kemi
    The Port of Kemi is a Finnish seaport on the northern Gulf of Bothnia that serves as an important hub for regional industry and cargo traffic in Lapland.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4729eb4a081909d93b3fc74509d86 completed May 1, 2026, 9:30 a.m.
Created at: April 8, 2026, 9:46 p.m.