Triple

T15222121
Position Surface form Disambiguated ID Type / Status
Subject Pyhä-Luosto National Park E363787 entity
Predicate locatedInMunicipality P40 FINISHED
Object Pelkosenniemi
Pelkosenniemi is a sparsely populated municipality in Finnish Lapland known for its northern wilderness landscapes and proximity to the Pyhä-Luosto fell area.
E1145849 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: Pelkosenniemi | Statement: [Pyhä-Luosto National Park, locatedInMunicipality, Pelkosenniemi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pelkosenniemi
Context triple: [Pyhä-Luosto National Park, locatedInMunicipality, Pelkosenniemi]
  • A. Mynämäki
    Mynämäki is a rural municipality in southwestern Finland known for its agricultural landscape and historic churches.
  • B. Outokumpu
    Outokumpu is a small Finnish town in the North Karelia region, historically known for its copper mining industry.
  • C. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • D. Karhula
    Karhula is a former Finnish municipality and industrial community that was incorporated into the city of Kotka.
  • E. Tuusniemi
    Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
  • 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: Pelkosenniemi
Triple: [Pyhä-Luosto National Park, locatedInMunicipality, Pelkosenniemi]
Generated description
Pelkosenniemi is a sparsely populated municipality in Finnish Lapland known for its northern wilderness landscapes and proximity to the Pyhä-Luosto fell area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pelkosenniemi
Target entity description: Pelkosenniemi is a sparsely populated municipality in Finnish Lapland known for its northern wilderness landscapes and proximity to the Pyhä-Luosto fell area.
  • A. Mynämäki
    Mynämäki is a rural municipality in southwestern Finland known for its agricultural landscape and historic churches.
  • B. Outokumpu
    Outokumpu is a small Finnish town in the North Karelia region, historically known for its copper mining industry.
  • C. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • D. Karhula
    Karhula is a former Finnish municipality and industrial community that was incorporated into the city of Kotka.
  • E. Tuusniemi
    Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00788b04881909dad9b346ce3b4a9 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3397a48190bae8b2a359ee4ae8 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf8589888190b705177fc6efdde0 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0e3fc9881909f67a86d67a3f61b completed May 9, 2026, 7:23 a.m.
Created at: April 10, 2026, 3:12 a.m.