Triple

T9064343
Position Surface form Disambiguated ID Type / Status
Subject Satakunta E217205 entity
Predicate containsMunicipality P852 FINISHED
Object Siikainen
Siikainen is a small rural municipality in western Finland known for its forests, lakes, and location within the Satakunta region.
 E778969 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: Siikainen | Statement: [Satakunta, containsMunicipality, Siikainen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Siikainen
Context triple: [Satakunta, containsMunicipality, Siikainen]
  • A. Soukainen
    Soukainen is a small village in the municipality of Laitila in southwestern Finland.
  • B. Nousiainen
    Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
  • C. Ikaalinen
    Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
  • D. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • E. Kyösti
    Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
  • 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: Siikainen
Triple: [Satakunta, containsMunicipality, Siikainen]
Generated description
Siikainen is a small rural municipality in western Finland known for its forests, lakes, and location within the Satakunta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Siikainen
Target entity description: Siikainen is a small rural municipality in western Finland known for its forests, lakes, and location within the Satakunta region.
  • A. Soukainen
    Soukainen is a small village in the municipality of Laitila in southwestern Finland.
  • B. Nousiainen
    Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
  • C. Ikaalinen
    Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
  • D. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • E. Kyösti
    Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fe00980819082571eccb608d605 completed April 3, 2026, 9:23 p.m.
NEDg Description generation batch_69d0316f47c88190920843b469d15069 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032778adc8190a087497507a6e1ca completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:11 p.m.