Triple

T8701531
Position Surface form Disambiguated ID Type / Status
Subject Pohjoisesplanadi E206542 entity
Predicate hasPublicSpaceRelation P31591 FINISHED
Object borders major urban park (Esplanadi) 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: borders major urban park (Esplanadi) | Statement: [Pohjoisesplanadi, hasPublicSpaceRelation, borders major urban park (Esplanadi)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicSpaceRelation
Context triple: [Pohjoisesplanadi, hasPublicSpaceRelation, borders major urban park (Esplanadi)]
  • A. hasPublicSpaceAlong chosen
    Indicates that a public space (such as a park, plaza, or walkway) is located adjacent to or runs alongside the referenced feature or element.
  • B. hasPublicSpaces
    Indicates that an entity includes or provides areas that are accessible and usable by the general public.
  • C. isInPublicSpace
    Indicates that an entity is located within a space that is publicly accessible or open to the general public.
  • D. hasCentralSpace
    Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
  • E. hasCommonSpace
    Indicates that two or more entities share access to the same physical or virtual area intended for joint or overlapping use.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b38cf88190bfdcbac9c340cb96 completed March 31, 2026, 11:28 p.m.
PD Predicate disambiguation batch_69cc456bda508190a9aa0fb92760739e completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:34 p.m.