Triple

T8587696
Position Surface form Disambiguated ID Type / Status
Subject Presidentens slott E203346 entity
Predicate overlooks P1323 FINISHED
Object Eteläsatama
Eteläsatama is Helsinki’s central South Harbour, a key maritime hub and scenic waterfront area serving ferries, cruise ships, and seaside promenades near the city center.
 E746190 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: Eteläsatama | Statement: [Presidentens slott, overlooks, Eteläsatama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eteläsatama
Context triple: [Presidentens slott, overlooks, Eteläsatama]
  • A. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • B. Perusia
    Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
  • C. Zealand
    Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
  • D. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • E. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • 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: Eteläsatama
Triple: [Presidentens slott, overlooks, Eteläsatama]
Generated description
Eteläsatama is Helsinki’s central South Harbour, a key maritime hub and scenic waterfront area serving ferries, cruise ships, and seaside promenades near the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eteläsatama
Target entity description: Eteläsatama is Helsinki’s central South Harbour, a key maritime hub and scenic waterfront area serving ferries, cruise ships, and seaside promenades near the city center.
  • A. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • B. Perusia
    Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
  • C. Zealand
    Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
  • D. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • E. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc457dc76481908ec5ee31ad72e887 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8a51db0819097ec0f70bee31539 completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea996a5c48190a12ffe8e282d2d9c completed April 2, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69ceadb2d52c8190aada1d797753663e completed April 2, 2026, 5:56 p.m.
Created at: March 30, 2026, 6:23 p.m.