Triple

T12566690
Position Surface form Disambiguated ID Type / Status
Subject Greater Helsinki E295495 entity
Predicate contains P35 FINISHED
Object Heinola
Heinola is a small Finnish town in the Päijät-Häme region, known for its lakeside scenery and traditional wooden architecture.
 E1182456 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: Heinola | Statement: [Greater Helsinki, contains, Heinola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heinola
Context triple: [Greater Helsinki, contains, Heinola]
  • A. Lahti
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • B. Kuokkala
    Kuokkala is a former Finnish locality on the Karelian Isthmus, now known as Repino in Saint Petersburg, Russia.
  • C. Kuokkala
    Kuokkala is a residential district of the city of Jyväskylä in central Finland, known for its lakeside location and distinctive bridge connection to the city center.
  • D. Kirkkonummi
    Kirkkonummi is a municipality in southern Finland, located just west of Helsinki on the coast of the Gulf of Finland.
  • E. Järvenpää
    Järvenpää is a small city in southern Finland known for its lakeside setting and cultural heritage, including its association with composer Jean Sibelius.
  • 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: Heinola
Triple: [Greater Helsinki, contains, Heinola]
Generated description
Heinola is a small Finnish town in the Päijät-Häme region, known for its lakeside scenery and traditional wooden architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heinola
Target entity description: Heinola is a small Finnish town in the Päijät-Häme region, known for its lakeside scenery and traditional wooden architecture.
  • A. Lahti
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • B. Kuokkala
    Kuokkala is a former Finnish locality on the Karelian Isthmus, now known as Repino in Saint Petersburg, Russia.
  • C. Kuokkala
    Kuokkala is a residential district of the city of Jyväskylä in central Finland, known for its lakeside location and distinctive bridge connection to the city center.
  • D. Kirkkonummi
    Kirkkonummi is a municipality in southern Finland, located just west of Helsinki on the coast of the Gulf of Finland.
  • E. Järvenpää
    Järvenpää is a small city in southern Finland known for its lakeside setting and cultural heritage, including its association with composer Jean Sibelius.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02b55f4819098f2b18fcf17ef0e completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0ae72e48190a3c799a7f242c94c completed May 9, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69ffb0e11fc481908a2609979dea4d59 completed May 9, 2026, 10:10 p.m.
Created at: April 8, 2026, 11:49 p.m.