Triple

T11422361
Position Surface form Disambiguated ID Type / Status
Subject Töölö E270655 entity
Predicate borderedBy P224 FINISHED
Object Ruoholahti
Ruoholahti is a waterfront district in Helsinki, Finland, known for its modern residential and office developments, canals, and proximity to the city center.
 E723453 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: Ruoholahti | Statement: [Töölö, borderedBy, Ruoholahti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruoholahti
Context triple: [Töölö, borderedBy, Ruoholahti]
  • A. Erkkola
    Erkkola is a historic Finnish artist’s home and museum on the shore of Lake Tuusulanjärvi, associated with the country’s national cultural heritage.
  • B. Harjola
    Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Keilaniemi
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • E. Ruokolahti
    Ruokolahti is a rural municipality in South Karelia, southeastern Finland, known for its lake-rich landscapes and proximity to the Russian border.
  • 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: Ruoholahti
Triple: [Töölö, borderedBy, Ruoholahti]
Generated description
Ruoholahti is a waterfront district in Helsinki, Finland, known for its modern residential and office developments, canals, and proximity to the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruoholahti
Target entity description: Ruoholahti is a waterfront district in Helsinki, Finland, known for its modern residential and office developments, canals, and proximity to the city center.
  • A. Erkkola
    Erkkola is a historic Finnish artist’s home and museum on the shore of Lake Tuusulanjärvi, associated with the country’s national cultural heritage.
  • B. Harjola
    Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Keilaniemi chosen
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • E. Ruokolahti
    Ruokolahti is a rural municipality in South Karelia, southeastern Finland, known for its lake-rich landscapes and proximity to the Russian border.
  • F. None of above.

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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36004cc81908222321af88d2903 completed April 20, 2026, 7:18 a.m.
NEDg Description generation batch_69e5d659fd7c819090b168168e355cb8 completed April 20, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_69e5d7f238cc8190a1c2dd26bdc5ff77 completed April 20, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:34 p.m.