Triple

T1829911
Position Surface form Disambiguated ID Type / Status
Subject Southwest Finland E40737 entity
Predicate containsMunicipality P852 FINISHED
Object Mynämäki
Mynämäki is a rural municipality in southwestern Finland known for its agricultural landscape and historic churches.
 E208429 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: Mynämäki | Statement: [Southwest Finland, containsMunicipality, Mynämäki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mynämäki
Context triple: [Southwest Finland, containsMunicipality, Mynämäki]
  • A. 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.
  • B. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • C. Kainuu
    Kainuu is a sparsely populated region in eastern Finland known for its forests, lakes, and traditional Finnish rural culture.
  • D. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • E. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • 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: Mynämäki
Triple: [Southwest Finland, containsMunicipality, Mynämäki]
Generated description
Mynämäki is a rural municipality in southwestern Finland known for its agricultural landscape and historic churches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mynämäki
Target entity description: Mynämäki is a rural municipality in southwestern Finland known for its agricultural landscape and historic churches.
  • A. 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.
  • B. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • C. Kainuu
    Kainuu is a sparsely populated region in eastern Finland known for its forests, lakes, and traditional Finnish rural culture.
  • D. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • E. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1bf7b3c81909fd2d548be2baa8f completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add28a8f848190bf6ea0924e7dd9fc completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add37ad9a481908b2a1476a8d33091 completed March 8, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:32 p.m.