Triple

T1829906
Position Surface form Disambiguated ID Type / Status
Subject Southwest Finland E40737 entity
Predicate containsMunicipality P852 FINISHED
Object Somero
Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
 E212938 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: Somero | Statement: [Southwest Finland, containsMunicipality, Somero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Somero
Context triple: [Southwest Finland, containsMunicipality, Somero]
  • A. Sannomiya
    Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
  • B. Katama
    Katama is a coastal area and neighborhood of Edgartown on Martha’s Vineyard, known for its expansive South Beach and open, windswept plains.
  • C. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • D. Ikoma
    Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
  • E. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • 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: Somero
Triple: [Southwest Finland, containsMunicipality, Somero]
Generated description
Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Somero
Target entity description: Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
  • A. Sannomiya
    Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
  • B. Katama
    Katama is a coastal area and neighborhood of Edgartown on Martha’s Vineyard, known for its expansive South Beach and open, windswept plains.
  • C. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • D. Ikoma
    Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
  • E. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • 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_69adead6888081909f89704f0c070d68 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adebc28ae88190bd954d9634f08059 completed March 8, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69adec25a87081908f098df81de6eafb completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:32 p.m.