Triple

T12623645
Position Surface form Disambiguated ID Type / Status
Subject Viikki Campus E301453 entity
Predicate locatedIn P40 FINISHED
Object Viikki
Viikki is a district in Helsinki, Finland, known for its university campus, research facilities, and extensive green and nature conservation areas.
E995942 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: Viikki | Statement: [Viikki Campus, locatedIn, Viikki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viikki
Context triple: [Viikki Campus, locatedIn, Viikki]
  • A. Viimsi
    Viimsi is a rapidly developing suburban municipality in northern Estonia, located just northeast of the capital city Tallinn.
  • B. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • C. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • D. Ylöjärvi
    Ylöjärvi is a municipality in the Pirkanmaa region of western Finland, located near the city of Tampere and known for its lakes and natural surroundings.
  • E. Leppävirta
    Leppävirta is a municipality in the Northern Savonia region of eastern Finland, known for its lakes, forests, and outdoor recreation opportunities.
  • 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: Viikki
Triple: [Viikki Campus, locatedIn, Viikki]
Generated description
Viikki is a district in Helsinki, Finland, known for its university campus, research facilities, and extensive green and nature conservation areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Viikki
Target entity description: Viikki is a district in Helsinki, Finland, known for its university campus, research facilities, and extensive green and nature conservation areas.
  • A. Viimsi
    Viimsi is a rapidly developing suburban municipality in northern Estonia, located just northeast of the capital city Tallinn.
  • B. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • C. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • D. Ylöjärvi
    Ylöjärvi is a municipality in the Pirkanmaa region of western Finland, located near the city of Tampere and known for its lakes and natural surroundings.
  • E. Leppävirta
    Leppävirta is a municipality in the Northern Savonia region of eastern Finland, known for its lakes, forests, and outdoor recreation opportunities.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610a897c8190a96f3c78d4b270a2 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686d770881909850ffaf820171d9 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66a232cec81909846400f8725aede completed May 2, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69f66b18e68881908bf79ab52bcc909e completed May 2, 2026, 9:22 p.m.
Created at: April 9, 2026, 5:14 p.m.