Triple

T10141156
Position Surface form Disambiguated ID Type / Status
Subject Vihti E231585 entity
Predicate hasVillage P4011 FINISHED
Object Otalampi
Otalampi is a small village in the municipality of Vihti in southern Finland, known for its rural setting and nearby lake of the same name.
E231585 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: Otalampi | Statement: [Vihti, hasVillage, Otalampi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otalampi
Context triple: [Vihti, hasVillage, Otalampi]
  • A. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • 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. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • D. Oulainen
    Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
  • E. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • 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: Otalampi
Triple: [Vihti, hasVillage, Otalampi]
Generated description
Otalampi is a small village in the municipality of Vihti in southern Finland, known for its rural setting and nearby lake of the same name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Otalampi
Target entity description: Otalampi is a small village in the municipality of Vihti in southern Finland, known for its rural setting and nearby lake of the same name.
  • A. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • B. Vihti chosen
    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. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • D. Oulainen
    Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
  • E. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e7d9932c8190b1947df14f373f9c completed April 5, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8c425b88190b20f1706fe3343f4 completed April 5, 2026, 10:57 p.m.
Created at: March 30, 2026, 9:07 p.m.