Triple

T1169730
Position Surface form Disambiguated ID Type / Status
Subject Eno Division E24886 entity
Predicate partOf P40 FINISHED
Object Duke Forest E3809 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: Duke Forest | Statement: [Eno Division, partOf, Duke Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke Forest
Context triple: [Eno Division, partOf, Duke Forest]
  • A. Duke Forest chosen
    Duke Forest is a large research, teaching, and recreational forest owned and managed by Duke University in the Durham, North Carolina area.
  • B. Croatan National Forest
    Croatan National Forest is a federally protected forest in eastern North Carolina known for its coastal wetlands, longleaf pine ecosystems, and diverse wildlife.
  • C. McDonald Forest
    McDonald Forest is a research and teaching forest near Corvallis, Oregon, managed by Oregon State University for studies in forestry, ecology, and natural resource management.
  • D. Sarah Doublet Forest
    Sarah Doublet Forest is a protected conservation area in Littleton, Massachusetts, known for its wooded trails, wildlife habitat, and opportunities for passive outdoor recreation.
  • E. Talladega National Forest
    Talladega National Forest is a federally protected forest in eastern Alabama known for its rugged Appalachian terrain, diverse wildlife, and extensive hiking and recreation opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce821b481908bc278a3fa7973f4 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7645abc8819086de42185bd403ed completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.