Triple

T36451622

Position	Surface form	Disambiguated ID	Type / Status
Subject	Storkower Gewässer	`E898025`	entity
Predicate	locatedInProtectedArea	`P40`	FINISHED
Object	Naturpark Dahme-Heideseen Naturpark Dahme-Heideseen is a large nature park in Brandenburg, Germany, characterized by its extensive lake and river landscapes, forests, and wetlands that provide important habitats for diverse flora and fauna.	`E2184697`	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: Naturpark Dahme-Heideseen | Statement: [Storkower Gewässer, locatedInProtectedArea, Naturpark Dahme-Heideseen]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Naturpark Dahme-Heideseen
Triple: [Storkower Gewässer, locatedInProtectedArea, Naturpark Dahme-Heideseen]

Generated description

Naturpark Dahme-Heideseen is a large nature park in Brandenburg, Germany, characterized by its extensive lake and river landscapes, forests, and wetlands that provide important habitats for diverse flora and fauna.

Provenance (5 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_69f76e57f08481908593bd0bc34581c8`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69f7bd8ff7b08190b968ddb30d09c565`	completed	May 3, 2026, 9:26 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39c4346744819092dc3a6a1632c8e6`	completed	June 22, 2026, 11:24 p.m.
NEDg	Description generation	`batch_6a39c5ba1a5c8190827e09d608eac04f`	completed	June 22, 2026, 11:31 p.m.
NED2	Entity disambiguation (via description)	`batch_6a39c9af2e6481909469e1fb9d3de72a`	completed	June 22, 2026, 11:47 p.m.

Created at: May 3, 2026, 4:10 p.m.