Triple

T22683171
Position Surface form Disambiguated ID Type / Status
Subject Groruddalen E560834 entity
Predicate subjectOf P38 FINISHED
Object Groruddalen urban regeneration program
The Groruddalen urban regeneration program is a long-term public initiative in Oslo aimed at improving living conditions, infrastructure, and environmental quality in the Groruddalen valley through coordinated social, cultural, and physical development projects.
E1549426 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: Groruddalen urban regeneration program | Statement: [Groruddalen, subjectOf, Groruddalen urban regeneration program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groruddalen urban regeneration program
Context triple: [Groruddalen, subjectOf, Groruddalen urban regeneration program]
  • A. Charles Center urban renewal project
    The Charles Center urban renewal project was a major mid-20th-century redevelopment initiative in downtown Baltimore that transformed a declining commercial district into a modern office and retail complex.
  • B. South Cove urban renewal project
    The South Cove urban renewal project was a mid-20th-century redevelopment initiative in Boston that transformed a historically immigrant and working-class neighborhood through large-scale clearance and construction, significantly reshaping the city’s Chinatown and surrounding areas.
  • C. Europaviertel urban development
    Europaviertel urban development is a large-scale mixed-use urban regeneration project in Frankfurt am Main that transforms former railway and industrial land into a modern district with residential, commercial, and leisure spaces.
  • D. Éco-Vallée urban development project
    The Éco-Vallée urban development project is a large-scale sustainable redevelopment initiative in the Plaine du Var area near Nice, France, integrating eco-friendly infrastructure, business districts, housing, and major facilities like the Allianz Riviera stadium.
  • E. Porto Maravilha urban revitalization project
    The Porto Maravilha urban revitalization project is a large-scale redevelopment initiative in Rio de Janeiro aimed at transforming the city’s historic port area into a modern cultural, business, and tourism hub.
  • 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: Groruddalen urban regeneration program
Triple: [Groruddalen, subjectOf, Groruddalen urban regeneration program]
Generated description
The Groruddalen urban regeneration program is a long-term public initiative in Oslo aimed at improving living conditions, infrastructure, and environmental quality in the Groruddalen valley through coordinated social, cultural, and physical development projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Groruddalen urban regeneration program
Target entity description: The Groruddalen urban regeneration program is a long-term public initiative in Oslo aimed at improving living conditions, infrastructure, and environmental quality in the Groruddalen valley through coordinated social, cultural, and physical development projects.
  • A. Charles Center urban renewal project
    The Charles Center urban renewal project was a major mid-20th-century redevelopment initiative in downtown Baltimore that transformed a declining commercial district into a modern office and retail complex.
  • B. South Cove urban renewal project
    The South Cove urban renewal project was a mid-20th-century redevelopment initiative in Boston that transformed a historically immigrant and working-class neighborhood through large-scale clearance and construction, significantly reshaping the city’s Chinatown and surrounding areas.
  • C. Europaviertel urban development
    Europaviertel urban development is a large-scale mixed-use urban regeneration project in Frankfurt am Main that transforms former railway and industrial land into a modern district with residential, commercial, and leisure spaces.
  • D. Éco-Vallée urban development project
    The Éco-Vallée urban development project is a large-scale sustainable redevelopment initiative in the Plaine du Var area near Nice, France, integrating eco-friendly infrastructure, business districts, housing, and major facilities like the Allianz Riviera stadium.
  • E. Porto Maravilha urban revitalization project
    The Porto Maravilha urban revitalization project is a large-scale redevelopment initiative in Rio de Janeiro aimed at transforming the city’s historic port area into a modern cultural, business, and tourism hub.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f4db988190a651faf7f454c6c8 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7551043c81908323a86af4db77ce completed May 18, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b764c2de88190bb1024206607d107 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:12 p.m.