Triple

T21289280
Position Surface form Disambiguated ID Type / Status
Subject Selkirk Mountains E524742 entity
Predicate ecoregion P948 FINISHED
Object Interior wet-belt forests
Interior wet-belt forests are a moist, temperate coniferous forest ecoregion of southeastern British Columbia characterized by high precipitation, dense old-growth stands, and rich biodiversity.
E1476288 NE FINISHED

How this triple was built (4 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: Interior wet-belt forests | Statement: [Selkirk Mountains, ecoregion, Interior wet-belt forests]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interior wet-belt forests
Context triple: [Selkirk Mountains, ecoregion, Interior wet-belt forests]
  • A. Isthmian–Pacific moist forests
    The Isthmian–Pacific moist forests are a biodiverse tropical rainforest ecoregion along the Pacific slope of southern Central America, characterized by high rainfall, dense evergreen forests, and rich endemic flora and fauna.
  • B. Araucaria moist forests
    The Araucaria moist forests are a high-altitude subtropical forest ecoregion in southern Brazil and nearby areas, dominated by Paraná pine (Araucaria angustifolia) and known for their rich biodiversity and high levels of endemism.
  • C. Tilio-Acerion ravine forests
    Tilio-Acerion ravine forests are semi-natural broadleaved woodlands dominated by lime (Tilia) and maple (Acer) species, typically found on steep, humid ravines and gorges in Europe and valued for their rich biodiversity and conservation importance.
  • D. Nelliyampathy forests
    Nelliyampathy forests are a biodiverse, hilly forest region in Kerala, India, known for their rich wildlife, tea and coffee plantations, and scenic Western Ghats landscapes.
  • E. Acarlar Floodplain Forest
    Acarlar Floodplain Forest is a protected wetland and forest ecosystem in Turkey renowned for its rich biodiversity, seasonal flooded landscapes, and popularity as a nature tourism and recreation area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Interior wet-belt forests
Triple: [Selkirk Mountains, ecoregion, Interior wet-belt forests]
Generated description
Interior wet-belt forests are a moist, temperate coniferous forest ecoregion of southeastern British Columbia characterized by high precipitation, dense old-growth stands, and rich biodiversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Interior wet-belt forests
Target entity description: Interior wet-belt forests are a moist, temperate coniferous forest ecoregion of southeastern British Columbia characterized by high precipitation, dense old-growth stands, and rich biodiversity.
  • A. Isthmian–Pacific moist forests
    The Isthmian–Pacific moist forests are a biodiverse tropical rainforest ecoregion along the Pacific slope of southern Central America, characterized by high rainfall, dense evergreen forests, and rich endemic flora and fauna.
  • B. Araucaria moist forests
    The Araucaria moist forests are a high-altitude subtropical forest ecoregion in southern Brazil and nearby areas, dominated by Paraná pine (Araucaria angustifolia) and known for their rich biodiversity and high levels of endemism.
  • C. Tilio-Acerion ravine forests
    Tilio-Acerion ravine forests are semi-natural broadleaved woodlands dominated by lime (Tilia) and maple (Acer) species, typically found on steep, humid ravines and gorges in Europe and valued for their rich biodiversity and conservation importance.
  • D. Nelliyampathy forests
    Nelliyampathy forests are a biodiverse, hilly forest region in Kerala, India, known for their rich wildlife, tea and coffee plantations, and scenic Western Ghats landscapes.
  • E. Acarlar Floodplain Forest
    Acarlar Floodplain Forest is a protected wetland and forest ecosystem in Turkey renowned for its rich biodiversity, seasonal flooded landscapes, and popularity as a nature tourism and recreation area.
  • F. None of above. chosen

Provenance (5 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d882408190a2300327cb73b7f6 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980c3fbc8190aefe065a0d6cd8b5 completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998a3326481908a4dfddfb7b2ecd9 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.