Triple

T1854371
Position Surface form Disambiguated ID Type / Status
Subject Uusimaa E41667 entity
Predicate hasMajorPort P942 FINISHED
Object Port of Helsinki
The Port of Helsinki is Finland’s busiest seaport and a major passenger and cargo hub in the Baltic Sea region.
 E207486 NE FINISHED

How this triple was built (4 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 Helsinki | Statement: [Uusimaa, hasMajorPort, Port of Helsinki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Port of Helsinki
Context triple: [Uusimaa, hasMajorPort, Port of Helsinki]
  • A. Port of Tallinn
    The Port of Tallinn is Estonia’s largest and busiest seaport complex, serving as a major passenger and cargo hub on the Baltic Sea.
  • B. 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.
  • C. Port of Stockholm
    The Port of Stockholm is a major Swedish seaport complex that serves as a key hub for passenger ferries, cruise ships, and cargo traffic in the Baltic Sea region.
  • D. Port of Gothenburg
    The Port of Gothenburg is Scandinavia’s largest seaport and a major logistics hub for Swedish international trade.
  • E. Port of Copenhagen
    The Port of Copenhagen is a major Danish seaport serving as a key hub for maritime trade, passenger ferries, and cruise traffic in the Baltic Sea region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Port of Helsinki
Triple: [Uusimaa, hasMajorPort, Port of Helsinki]
Generated description
The Port of Helsinki is Finland’s busiest seaport and a major passenger and cargo hub in the Baltic Sea region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Port of Helsinki
Target entity description: The Port of Helsinki is Finland’s busiest seaport and a major passenger and cargo hub in the Baltic Sea region.
  • A. Port of Tallinn
    The Port of Tallinn is Estonia’s largest and busiest seaport complex, serving as a major passenger and cargo hub on the Baltic Sea.
  • B. 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.
  • C. Port of Stockholm
    The Port of Stockholm is a major Swedish seaport complex that serves as a key hub for passenger ferries, cruise ships, and cargo traffic in the Baltic Sea region.
  • D. Port of Gothenburg
    The Port of Gothenburg is Scandinavia’s largest seaport and a major logistics hub for Swedish international trade.
  • E. Port of Copenhagen
    The Port of Copenhagen is a major Danish seaport serving as a key hub for maritime trade, passenger ferries, and cruise traffic in the Baltic Sea region.
  • F. None of above. chosen

Provenance (5 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07d48c48190bcd34d6093ff5e78 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c89bdc8190acf517a7731fa5c7 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add25c9c208190a576cf1123c0a2e6 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add32803a48190b8ff08c605790f22 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:33 p.m.