Triple

T18246070
Position Surface form Disambiguated ID Type / Status
Subject Kurzeme E436956 entity
Predicate containsTown P847 FINISHED
Object Tērvete
Tērvete is a small town in western Latvia known for its scenic nature park, historical wooden castle replicas, and rich cultural heritage.
 E1313448 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: Tērvete | Statement: [Kurzeme, containsTown, Tērvete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tērvete
Context triple: [Kurzeme, containsTown, Tērvete]
  • A. Tuusula
    Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
  • B. Töölö
    Töölö is a central district of Helsinki, Finland, known for its early 20th-century architecture, cultural institutions, and proximity to the city’s major parks and waterfront.
  • C. Tallinn
    Tallinn is the capital and largest city of Estonia, a historic Baltic Sea port known for its well-preserved medieval Old Town and strategic maritime location.
  • D. Ilsbo
    Ilsbo is a small rural locality in Nordanstig Municipality in Gävleborg County, Sweden.
  • E. Loimaa
    Loimaa is a town and municipality in southwestern Finland known for its agricultural surroundings and small-town character.
  • 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: Tērvete
Triple: [Kurzeme, containsTown, Tērvete]
Generated description
Tērvete is a small town in western Latvia known for its scenic nature park, historical wooden castle replicas, and rich cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tērvete
Target entity description: Tērvete is a small town in western Latvia known for its scenic nature park, historical wooden castle replicas, and rich cultural heritage.
  • A. Tuusula
    Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
  • B. Töölö
    Töölö is a central district of Helsinki, Finland, known for its early 20th-century architecture, cultural institutions, and proximity to the city’s major parks and waterfront.
  • C. Tallinn
    Tallinn is the capital and largest city of Estonia, a historic Baltic Sea port known for its well-preserved medieval Old Town and strategic maritime location.
  • D. Ilsbo
    Ilsbo is a small rural locality in Nordanstig Municipality in Gävleborg County, Sweden.
  • E. Loimaa
    Loimaa is a town and municipality in southwestern Finland known for its agricultural surroundings and small-town character.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e6fbac8190bf252c4337f50c29 completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac733e708190a7fde1fb61db5d5f completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad2be6e0819081426da968a57db0 completed May 12, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a03ad8898748190b57028bb2e2ed207 completed May 12, 2026, 10:45 p.m.
Created at: April 10, 2026, 10:33 a.m.