Triple

T3899722
Position Surface form Disambiguated ID Type / Status
Subject Nowa Huta district E90454 entity
Predicate urbanTransformation P7886 FINISHED
Object post‑1989 economic restructuring 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: post‑1989 economic restructuring | Statement: [Nowa Huta district, urbanTransformation, post‑1989 economic restructuring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanTransformation
Context triple: [Nowa Huta district, urbanTransformation, post‑1989 economic restructuring]
  • A. urbanDevelopment chosen
    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. urbanAdaptation
    Indicates how well an entity adjusts its behavior, structure, or function to survive and operate effectively in urban environments.
  • C. urbanDevelopmentType
    Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
  • D. urbanDesign
    Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
  • E. urbanMorphology
    Indicates the spatial form, structure, and layout relationships that characterize the physical configuration of an urban area.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75b5b808190a348a31b1325d3d0 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:21 p.m.