Triple

T5161179
Position Surface form Disambiguated ID Type / Status
Subject Salo E116439 entity
Predicate mergedMunicipalities P5557 FINISHED
Object Muurla
Muurla was a former municipality in Finland that later became part of the city of Salo.
 E499502 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: Muurla | Statement: [Salo, mergedMunicipalities, Muurla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muurla
Context triple: [Salo, mergedMunicipalities, Muurla]
  • A. Selke
    The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
  • B. Kukkonen
    Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
  • C. Ehrnrooth
    Ehrnrooth is a notable Finnish noble family name associated with several prominent military officers, industrialists, and public figures in Finland.
  • D. Kauniainen
    Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
  • E. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • 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: Muurla
Triple: [Salo, mergedMunicipalities, Muurla]
Generated description
Muurla was a former municipality in Finland that later became part of the city of Salo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muurla
Target entity description: Muurla was a former municipality in Finland that later became part of the city of Salo.
  • A. Selke
    The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
  • B. Kukkonen
    Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
  • C. Ehrnrooth
    Ehrnrooth is a notable Finnish noble family name associated with several prominent military officers, industrialists, and public figures in Finland.
  • D. Kauniainen
    Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
  • E. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd846dfb908190827fbee5a5ae55e2 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed92b3ab48190900cf5c246dba433 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69beda3bfee08190a6e1d8b06739cade completed March 21, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69beda93175481908c79010c7fe6897e completed March 21, 2026, 5:51 p.m.
Created at: March 20, 2026, 1:44 p.m.