Triple

T18765790
Position Surface form Disambiguated ID Type / Status
Subject College of Natural Resources E458889 entity
Predicate affiliatedWith P254 FINISHED
Object Experimental Forests of the University of Idaho — NE NERFINISHED

How this triple was built (3 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: Experimental Forests of the University of Idaho | Statement: [College of Natural Resources, affiliatedWith, Experimental Forests of the University of Idaho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Experimental Forests of the University of Idaho
Context triple: [College of Natural Resources, affiliatedWith, Experimental Forests of the University of Idaho]
  • A. McDonald-Dunn Research Forest
    McDonald-Dunn Research Forest is a large Oregon State University–managed forest near Corvallis used for forestry research, education, and outdoor recreation such as hiking and mountain biking.
  • B. Bent Creek Experimental Forest
    Bent Creek Experimental Forest is a research and recreation area in western North Carolina known for its long-term forest ecology studies and extensive network of hiking and mountain biking trails.
  • C. Forest Research
    Forest Research is the UK’s principal organization for forestry and tree-related scientific research, providing evidence and expertise to support sustainable forest management and policy.
  • D. The Livable Forest
    The Livable Forest is a master-planned, heavily wooded residential community in northeast Houston known for its greenbelts, parks, and family-friendly suburban atmosphere.
  • E. SFI Forest Management
    SFI Forest Management is a certification standard that verifies forests are managed sustainably, balancing environmental protection, social responsibility, and economic viability.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Experimental Forests of the University of Idaho
Target entity description: The Experimental Forests of the University of Idaho are university-managed forest lands used for research, education, and demonstration in forestry and natural resource management.
  • A. McDonald-Dunn Research Forest
    McDonald-Dunn Research Forest is a large Oregon State University–managed forest near Corvallis used for forestry research, education, and outdoor recreation such as hiking and mountain biking.
  • B. Bent Creek Experimental Forest
    Bent Creek Experimental Forest is a research and recreation area in western North Carolina known for its long-term forest ecology studies and extensive network of hiking and mountain biking trails.
  • C. Forest Research
    Forest Research is the UK’s principal organization for forestry and tree-related scientific research, providing evidence and expertise to support sustainable forest management and policy.
  • D. The Livable Forest
    The Livable Forest is a master-planned, heavily wooded residential community in northeast Houston known for its greenbelts, parks, and family-friendly suburban atmosphere.
  • E. SFI Forest Management
    SFI Forest Management is a certification standard that verifies forests are managed sustainably, balancing environmental protection, social responsibility, and economic viability.
  • F. None of above. chosen

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d83ae10819094b3298cb8256327 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.