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.