Triple

T13090195
Position Surface form Disambiguated ID Type / Status
Subject Northern Savonia E310441 entity
Predicate containsMunicipality P852 FINISHED
Object Lapinlahti
Lapinlahti is a municipality in eastern Finland known for its rural landscapes, lakes, and traditional Finnish countryside character.
E1246529 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: Lapinlahti | Statement: [Northern Savonia, containsMunicipality, Lapinlahti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapinlahti
Context triple: [Northern Savonia, containsMunicipality, Lapinlahti]
  • A. Laajalahti
    Laajalahti is a coastal district and nature area in Espoo, Finland, known for its bay, bird wetlands, and conservation sites near the Otaniemi campus area.
  • B. Lahdenpohja
    Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
  • C. Hankasalmi
    Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
  • D. Leppävirta
    Leppävirta is a municipality in the Northern Savonia region of eastern Finland, known for its lakes, forests, and outdoor recreation opportunities.
  • E. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • 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: Lapinlahti
Triple: [Northern Savonia, containsMunicipality, Lapinlahti]
Generated description
Lapinlahti is a municipality in eastern Finland known for its rural landscapes, lakes, and traditional Finnish countryside character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lapinlahti
Target entity description: Lapinlahti is a municipality in eastern Finland known for its rural landscapes, lakes, and traditional Finnish countryside character.
  • A. Laajalahti
    Laajalahti is a coastal district and nature area in Espoo, Finland, known for its bay, bird wetlands, and conservation sites near the Otaniemi campus area.
  • B. Lahdenpohja
    Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
  • C. Hankasalmi
    Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
  • D. Leppävirta
    Leppävirta is a municipality in the Northern Savonia region of eastern Finland, known for its lakes, forests, and outdoor recreation opportunities.
  • E. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b2fc8f88190b9bd2887149e3d68 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011be1347481908ab05b4b30ab8243 completed May 10, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a011d144fd481908aac53f3ce4c62a7 completed May 11, 2026, 12:04 a.m.
Created at: April 9, 2026, 9:03 p.m.