Triple

T28137988
Position Surface form Disambiguated ID Type / Status
Subject Khreshchatyi Yar E714259 entity
Predicate hasUrbanTransformation P161692 FINISHED
Object partially built over by central Kyiv development 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: partially built over by central Kyiv development | Statement: [Khreshchatyi Yar, hasUrbanTransformation, partially built over by central Kyiv development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanTransformation
Context triple: [Khreshchatyi Yar, hasUrbanTransformation, partially built over by central Kyiv development]
  • A. hasUrbanContinuity
    Indicates that there is a continuous, uninterrupted urbanized area or built-up fabric between the related entities.
  • B. hasUrbanInfluence
    Indicates that one entity exerts or reflects the characteristics, impact, or style of an urban area on another entity.
  • C. hasUrbanSectionsIn
    Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
  • D. hasUrbanExpansionTo chosen
    Indicates that an urban area has expanded or extended its development into another specified area or region.
  • E. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • 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_69efd6af156c81908f50c2cd7db0e1ef completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 9:51 p.m.