Triple

T3674388
Position Surface form Disambiguated ID Type / Status
Subject Jyväskylä E77953 entity
Predicate hasDistrict P459 FINISHED
Object Keskusta
Keskusta is the central downtown district of the Finnish city of Jyväskylä, serving as its main hub for commerce, services, and urban life.
E377504 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: Keskusta | Statement: [Jyväskylä, hasDistrict, Keskusta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keskusta
Context triple: [Jyväskylä, hasDistrict, Keskusta]
  • A. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • B. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • C. Center
    Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
  • D. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • E. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • 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: Keskusta
Triple: [Jyväskylä, hasDistrict, Keskusta]
Generated description
Keskusta is the central downtown district of the Finnish city of Jyväskylä, serving as its main hub for commerce, services, and urban life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keskusta
Target entity description: Keskusta is the central downtown district of the Finnish city of Jyväskylä, serving as its main hub for commerce, services, and urban life.
  • A. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • B. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • C. Center
    Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
  • D. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • E. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc45fbd1c819099023791452f1beb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48854a2308190ba6a9fc39929b35c completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48b48c5f48190b9db5f3feca08e0e completed March 13, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69b4af0410e8819091cb1259d06d60cc completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:25 p.m.