Triple

T31473198
Position Surface form Disambiguated ID Type / Status
Subject Störnstein E802913 entity
Predicate locatedIn P40 FINISHED
Object Upper Palatinate Forest Nature Park
Upper Palatinate Forest Nature Park is a protected natural area in eastern Bavaria, Germany, known for its forested low mountain landscapes, diverse wildlife, and extensive hiking and recreation opportunities.
E1963429 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: Upper Palatinate Forest Nature Park | Statement: [Störnstein, locatedIn, Upper Palatinate Forest Nature Park]
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: Upper Palatinate Forest Nature Park
Triple: [Störnstein, locatedIn, Upper Palatinate Forest Nature Park]
Generated description
Upper Palatinate Forest Nature Park is a protected natural area in eastern Bavaria, Germany, known for its forested low mountain landscapes, diverse wildlife, and extensive hiking and recreation opportunities.

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_69f348c9477c8190bc0a21f6d482d2fc completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a17cce908190b37f2d17216a4e2d completed May 3, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b079729f481908dba463b28f2a268 completed June 11, 2026, 7:08 p.m.
NEDg Description generation batch_6a2b09a77a008190a59d762b2674a635 completed June 11, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2b0a25bb0c81909fb7c701aa429f5d completed June 11, 2026, 7:19 p.m.
Created at: April 30, 2026, 9:27 p.m.