Triple

T124765
Position Surface form Disambiguated ID Type / Status
Subject Tegel E2522 entity
Predicate hasGreenSpace P1495 FINISHED
Object Tegeler Forst E15561 NE 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: Tegeler Forst | Statement: [Tegel, hasGreenSpace, Tegeler Forst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegeler Forst
Context triple: [Tegel, hasGreenSpace, Tegeler Forst]
  • A. Tegeler Forst chosen
    Tegeler Forst is a large forested area in the Berlin district of Tegel, known for its natural landscapes, walking trails, and recreational opportunities.
  • B. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • C. Berlin Botanical Garden
    The Berlin Botanical Garden is a major botanical garden and research institution in Berlin, Germany, renowned for its extensive plant collections and historic role in botanical science.
  • D. Schloss Tegel
    Schloss Tegel is a historic country house and former manor in Berlin, best known as the childhood home of the Humboldt brothers and a notable example of Prussian neoclassical architecture.
  • E. Tegeler See
    Tegeler See is a large lake in the Tegel district of Berlin, Germany, popular for recreation, boating, and its surrounding natural areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573e4e6481908252dfef2e34f46e completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c27487c08190a4a356a4ad7b411b completed Feb. 28, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.