Triple

T28599882
Position Surface form Disambiguated ID Type / Status
Subject Český les Protected Landscape Area E723879 entity
Predicate partOf P40 FINISHED
Object Český les mountain range
The Český les mountain range is a forested border range in western Bohemia forming part of the frontier between the Czech Republic and Germany, known for its relatively untouched nature and low population density.
E1835375 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: Český les mountain range | Statement: [Český les Protected Landscape Area, partOf, Český les mountain range]
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: Český les mountain range
Triple: [Český les Protected Landscape Area, partOf, Český les mountain range]
Generated description
The Český les mountain range is a forested border range in western Bohemia forming part of the frontier between the Czech Republic and Germany, known for its relatively untouched nature and low population density.

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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6521567448190be25bfe6a2fe6727 completed May 2, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bb85848881909403b8f23b7b3314 completed June 7, 2026, 12:29 a.m.
NEDg Description generation batch_6a24bfc8d5f48190897d403ba203f298 completed June 7, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a24c3ee6bdc8190a0bbf5cb4503d57a completed June 7, 2026, 1:05 a.m.
Created at: April 28, 2026, 4:23 a.m.