Triple

T14318463
Position Surface form Disambiguated ID Type / Status
Subject EPA Level III ecoregions of the United States E355017 entity
Predicate hasExampleRegion P285 FINISHED
Object Northern Lakes and Forests ecoregion E187826 NE FINISHED

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: Northern Lakes and Forests ecoregion | Statement: [EPA Level III ecoregions of the United States, hasExampleRegion, Northern Lakes and Forests ecoregion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Lakes and Forests ecoregion
Context triple: [EPA Level III ecoregions of the United States, hasExampleRegion, Northern Lakes and Forests ecoregion]
  • A. Northern Lakes and Forests ecoregion chosen
    The Northern Lakes and Forests ecoregion is a heavily forested, lake-rich landscape of the upper Great Lakes region characterized by mixed conifer–hardwood forests, abundant wetlands, and a cool northern climate that supports diverse wildlife.
  • B. Apache Highlands ecoregion
    The Apache Highlands ecoregion is a biologically rich transition zone of semi-arid mountains and grasslands spanning parts of the southwestern United States and northern Mexico, known for its high biodiversity and mix of temperate and subtropical species.
  • C. Southeastern mixed forests ecoregion
    The Southeastern mixed forests ecoregion is a temperate forest region of the southeastern United States characterized by a diverse mix of hardwood and pine species and rich wildlife habitats.
  • D. Hudson Plains ecozone
    The Hudson Plains ecozone is a vast, low-lying wetland region in northeastern Canada characterized by extensive peatlands, tundra, and boreal forest along the southwestern shores of Hudson Bay.
  • E. Great Lakes–St. Lawrence forest region
    The Great Lakes–St. Lawrence forest region is a mixed-wood ecological zone in eastern Canada characterized by a transition between boreal coniferous forests and southern hardwood forests, supporting high biodiversity and numerous protected areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExampleRegion
Context triple: [EPA Level III ecoregions of the United States, hasExampleRegion, Northern Lakes and Forests ecoregion]
  • A. hasSubdivisionExample
    Indicates that one entity is an example or instance of a subdivision or component part of another entity.
  • B. hasRegion chosen
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • C. hasGlobalRegion
    Indicates that an entity is associated with or belongs to a specific global geographic region.
  • D. hasBaseRegion
    Indicates that one entity is situated upon, supported by, or primarily associated with a specific underlying region or area.
  • E. hasTypicalUsageRegion
    Indicates that something is most commonly or characteristically used within a particular geographic region.
  • F. None of above.

Provenance (4 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883a93548190ac671b001d15d0bd completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd468a3b788190812ff0eed84fd139 completed May 8, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69de2a9515f4819081aabf251bca5878 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:13 a.m.