Triple

T756209
Position Surface form Disambiguated ID Type / Status
Subject Tegeler Forst E15561 entity
Predicate hasRecreationalFunction P5383 FINISHED
Object local recreation area for Berlin residents 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: local recreation area for Berlin residents | Statement: [Tegeler Forst, hasRecreationalFunction, local recreation area for Berlin residents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecreationalFunction
Context triple: [Tegeler Forst, hasRecreationalFunction, local recreation area for Berlin residents]
  • A. hasRecreationalArea chosen
    Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
  • B. hasRecreationFacility
    Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
  • C. hasRecreationType
    Indicates that an entity is associated with or offers a particular type or category of recreational activity.
  • D. hasRecreationActivity
    Indicates that an entity provides, includes, or is associated with a particular recreational activity.
  • E. hasRecreationalRoute
    Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6693cbc8190a167e12a896d7ce7 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a50348088190873a1446db657a78 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.