Triple

T12001424
Position Surface form Disambiguated ID Type / Status
Subject South Ostrobothnia E285671 entity
Predicate containsMunicipality P852 FINISHED
Object Isojoki E847916 NE FINISHED

How this triple was built (2 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: Isojoki | Statement: [South Ostrobothnia, containsMunicipality, Isojoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isojoki
Context triple: [South Ostrobothnia, containsMunicipality, Isojoki]
  • A. Isojoki chosen
    Isojoki is a small rural municipality in western Finland known for its forests, lakes, and outdoor recreation opportunities.
  • B. Juupajoki
    Juupajoki is a small rural municipality in the Pirkanmaa region of southern Finland, known for its forests, lakes, and traditional village landscapes.
  • C. Eurajoki
    Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
  • D. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • E. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5ccac481908c61fc1109cc6ef6 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.