Triple

T10174113
Position Surface form Disambiguated ID Type / Status
Subject Kristinestad E235805 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Karijoki
Karijoki is a small rural municipality in western Finland known for its agricultural landscape and quiet countryside.
 E846688 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: Karijoki | Statement: [Kristinestad, hasNeighboringMunicipality, Karijoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karijoki
Context triple: [Kristinestad, hasNeighboringMunicipality, Karijoki]
  • A. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • B. Kemijoki
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • C. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • D. Eurajoki
    Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
  • E. Kyrönjoki
    Kyrönjoki is a river in western Finland that flows through the Ostrobothnia region and is known for its agricultural landscapes and frequent flooding.
  • 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: Karijoki
Triple: [Kristinestad, hasNeighboringMunicipality, Karijoki]
Generated description
Karijoki is a small rural municipality in western Finland known for its agricultural landscape and quiet countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karijoki
Target entity description: Karijoki is a small rural municipality in western Finland known for its agricultural landscape and quiet countryside.
  • A. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • B. Kemijoki
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • C. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • D. Eurajoki
    Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
  • E. Kyrönjoki
    Kyrönjoki is a river in western Finland that flows through the Ostrobothnia region and is known for its agricultural landscapes and frequent flooding.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3178844c48190af952ac30a4d6d97 completed April 6, 2026, 2:16 a.m.
NEDg Description generation batch_69d318fbb3048190acdb28f18c5a215a completed April 6, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_69d319687fac81909f8174ebfc84e737 completed April 6, 2026, 2:24 a.m.
Created at: March 30, 2026, 9:11 p.m.