Triple

T17745637
Position Surface form Disambiguated ID Type / Status
Subject Clifty Creek Natural Area E442981 entity
Predicate ecosystemType P952 FINISHED
Object Ozark forest 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: Ozark forest | Statement: [Clifty Creek Natural Area, ecosystemType, Ozark forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozark forest
Context triple: [Clifty Creek Natural Area, ecosystemType, Ozark forest]
  • A. Piney Woods
    Piney Woods is a heavily forested ecoregion of East Texas and neighboring states, known for its dense pine forests, rich biodiversity, and historic rural communities.
  • B. Ozark National Forest
    Ozark National Forest is a federally protected woodland area in northern Arkansas known for its rugged Ozark Mountains scenery, extensive hiking trails, and diverse wildlife.
  • C. Argonne Forest
    Argonne Forest is a wooded region in northeastern France that was a major World War I battlefield, particularly known for the Meuse-Argonne Offensive.
  • D. Appalachian forest
    The Appalachian forest is a temperate, biodiverse woodland ecosystem characteristic of the Appalachian Mountains, known for its mixed hardwoods, rich understory, and abundant wildlife.
  • E. U.S. Woodland
    U.S. Woodland is a four-color camouflage pattern formerly used as the standard combat uniform design of the United States Armed Forces, characterized by its green, brown, black, and sand disruptive shapes for temperate woodland environments.
  • 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: Ozark forest
Target entity description: Ozark forest is a rugged, heavily wooded ecosystem of the Ozark Highlands characterized by mixed hardwoods, steep hills, and rich biodiversity.
  • A. Piney Woods
    Piney Woods is a heavily forested ecoregion of East Texas and neighboring states, known for its dense pine forests, rich biodiversity, and historic rural communities.
  • B. Ozark National Forest chosen
    Ozark National Forest is a federally protected woodland area in northern Arkansas known for its rugged Ozark Mountains scenery, extensive hiking trails, and diverse wildlife.
  • C. Argonne Forest
    Argonne Forest is a wooded region in northeastern France that was a major World War I battlefield, particularly known for the Meuse-Argonne Offensive.
  • D. Appalachian forest
    The Appalachian forest is a temperate, biodiverse woodland ecosystem characteristic of the Appalachian Mountains, known for its mixed hardwoods, rich understory, and abundant wildlife.
  • E. U.S. Woodland
    U.S. Woodland is a four-color camouflage pattern formerly used as the standard combat uniform design of the United States Armed Forces, characterized by its green, brown, black, and sand disruptive shapes for temperate woodland environments.
  • F. None of above.

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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.