Triple

T26178096
Position Surface form Disambiguated ID Type / Status
Subject Paanajärvi National Park E654595 entity
Predicate regionType P1828 FINISHED
Object Fennoscandian boreal zone
The Fennoscandian boreal zone is a vast northern forest region spanning parts of Norway, Sweden, Finland, and Russia, characterized by coniferous woodlands, cold climates, and extensive wetlands.
E1711516 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: Fennoscandian boreal zone | Statement: [Paanajärvi National Park, regionType, Fennoscandian boreal zone]
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: Fennoscandian boreal zone
Triple: [Paanajärvi National Park, regionType, Fennoscandian boreal zone]
Generated description
The Fennoscandian boreal zone is a vast northern forest region spanning parts of Norway, Sweden, Finland, and Russia, characterized by coniferous woodlands, cold climates, and extensive wetlands.

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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c6d5ac88190ad5493a880f41fb8 completed May 2, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11277d70688190af8859def1a55084 completed May 23, 2026, 4:05 a.m.
NEDg Description generation batch_6a112d8ab4a481908ccfe11f16d1b4e5 completed May 23, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a1132067ae881909318388b7671cfe6 completed May 23, 2026, 4:50 a.m.
Created at: April 26, 2026, 8:38 p.m.