Triple

T11111694
Position Surface form Disambiguated ID Type / Status
Subject Praga-Północ E262770 entity
Predicate urbanRegeneration P55332 FINISHED
Object subject to revitalization programs LITERAL FINISHED

How this triple was built (2 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: subject to revitalization programs | Statement: [Praga-Północ, urbanRegeneration, subject to revitalization programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanRegeneration
Context triple: [Praga-Północ, urbanRegeneration, subject to revitalization programs]
  • A. urbanDevelopment
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • B. urbanRedevelopmentArea
    Indicates that a location is designated for concentrated urban renewal activities such as redevelopment, revitalization, or land-use transformation.
  • C. urbanAdaptation
    Indicates how well an entity adjusts its behavior, structure, or function to survive and operate effectively in urban environments.
  • D. urbanRegenerationStatus chosen
    Indicates the current stage or condition of efforts to renew, redevelop, or revitalize an urban area.
  • E. urbanDevelopmentProject
    Indicates a project that plans, manages, or executes changes to urban areas, such as construction, renewal, or infrastructure improvements.
  • F. None of above.

Provenance (3 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa42ec4819085a2e802e00d9f02 completed April 9, 2026, 12:25 p.m.
PD Predicate disambiguation batch_69d7441cf8188190b8095f622c923156 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.