Triple

T1347277
Position Surface form Disambiguated ID Type / Status
Subject ETH Board E28799 entity
Predicate oversees P46 FINISHED
Object Swiss Federal Institute for Forest, Snow and Landscape Research
The Swiss Federal Institute for Forest, Snow and Landscape Research is a Swiss research institution specializing in forests, natural hazards, snow and ice, and landscape management and conservation.
E154317 NE FINISHED

How this triple was built (4 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: Swiss Federal Institute for Forest, Snow and Landscape Research | Statement: [ETH Board, oversees, Swiss Federal Institute for Forest, Snow and Landscape Research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Federal Institute for Forest, Snow and Landscape Research
Context triple: [ETH Board, oversees, Swiss Federal Institute for Forest, Snow and Landscape Research]
  • A. Swiss Academy of Sciences
    The Swiss Academy of Sciences is a national scientific institution in Switzerland that promotes research, supports scientific collaboration, and advises society and policymakers on science-related issues.
  • B. World Forestry Center
    The World Forestry Center is a nonprofit museum and educational institution in Portland, Oregon, dedicated to global forestry, conservation, and sustainable management of forest resources.
  • C. Reich Forestry Office
    The Reich Forestry Office was the central governmental authority in Nazi Germany responsible for overseeing forestry policy, wildlife management, and hunting regulations under the leadership of the Reichsjägermeister.
  • D. Vetsuisse Faculty
    The Vetsuisse Faculty is the veterinary medicine faculty jointly operated by the University of Zurich and the University of Bern, providing education, research, and clinical services in animal health.
  • E. Swiss Academy of Medical Sciences
    The Swiss Academy of Medical Sciences is a leading Swiss institution that promotes excellence, ethics, and innovation in medical research and healthcare policy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Swiss Federal Institute for Forest, Snow and Landscape Research
Triple: [ETH Board, oversees, Swiss Federal Institute for Forest, Snow and Landscape Research]
Generated description
The Swiss Federal Institute for Forest, Snow and Landscape Research is a Swiss research institution specializing in forests, natural hazards, snow and ice, and landscape management and conservation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Swiss Federal Institute for Forest, Snow and Landscape Research
Target entity description: The Swiss Federal Institute for Forest, Snow and Landscape Research is a Swiss research institution specializing in forests, natural hazards, snow and ice, and landscape management and conservation.
  • A. Swiss Academy of Sciences
    The Swiss Academy of Sciences is a national scientific institution in Switzerland that promotes research, supports scientific collaboration, and advises society and policymakers on science-related issues.
  • B. World Forestry Center
    The World Forestry Center is a nonprofit museum and educational institution in Portland, Oregon, dedicated to global forestry, conservation, and sustainable management of forest resources.
  • C. Reich Forestry Office
    The Reich Forestry Office was the central governmental authority in Nazi Germany responsible for overseeing forestry policy, wildlife management, and hunting regulations under the leadership of the Reichsjägermeister.
  • D. Vetsuisse Faculty
    The Vetsuisse Faculty is the veterinary medicine faculty jointly operated by the University of Zurich and the University of Bern, providing education, research, and clinical services in animal health.
  • E. Swiss Academy of Medical Sciences
    The Swiss Academy of Medical Sciences is a leading Swiss institution that promotes excellence, ethics, and innovation in medical research and healthcare policy.
  • F. None of above. chosen

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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2406c488190b2c04d54d9c5e94c completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc639201c81908ed9c9ac37cd358f completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc71a3e808190aecbb57a64f39b6b completed March 8, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69acc88e4ec08190945b366524b83088 completed March 8, 2026, 12:53 a.m.
Created at: March 1, 2026, 7:56 p.m.