Triple

T13911849
Position Surface form Disambiguated ID Type / Status
Subject Kleinmachnow E334515 entity
Predicate hasGreenSpaceCharacteristic P45219 FINISHED
Object high proportion of forests and green areas 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: high proportion of forests and green areas | Statement: [Kleinmachnow, hasGreenSpaceCharacteristic, high proportion of forests and green areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGreenSpaceCharacteristic
Context triple: [Kleinmachnow, hasGreenSpaceCharacteristic, high proportion of forests and green areas]
  • A. hasGreenSpaces chosen
    Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
  • B. hasNearbyGreenSpace
    Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
  • C. isGreenSpaceFor
    Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
  • D. isGreenSpaceType
    Indicates that one entity is classified as a type or category of green space (such as parks, gardens, or natural vegetated areas) in relation to another.
  • E. hasOutdoorSpaceType
    Indicates the specific kind of outdoor area associated with an entity, such as a balcony, terrace, garden, or patio.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:16 p.m.