Triple

T5404129
Position Surface form Disambiguated ID Type / Status
Subject Peruvian Amazon E120848 entity
Predicate ecoregion P948 FINISHED
Object Southwest Amazon moist forests
The Southwest Amazon moist forests are a highly biodiverse tropical rainforest ecoregion spanning parts of Peru, Brazil, and Bolivia, known for its rich wildlife, extensive river systems, and relatively intact primary forest.
E517792 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: Southwest Amazon moist forests | Statement: [Peruvian Amazon, ecoregion, Southwest Amazon moist forests]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southwest Amazon moist forests
Context triple: [Peruvian Amazon, ecoregion, Southwest Amazon moist forests]
  • A. Tapajós–Xingu moist forests
    The Tapajós–Xingu moist forests are a biodiverse tropical rainforest ecoregion in the central Brazilian Amazon, known for its rich endemic wildlife and extensive, relatively undisturbed forest cover between the Tapajós and Xingu rivers.
  • B. Northwestern Amazonia
    Northwestern Amazonia is a culturally and ecologically diverse region of the upper Amazon Basin, spanning parts of countries like Colombia, Ecuador, Peru, and Brazil and known for its dense rainforests and numerous Indigenous languages and peoples.
  • C. Guayanan moist forests
    Guayanan moist forests are a vast tropical rainforest ecoregion of the Guiana Shield in northern South America, noted for their high biodiversity, dense evergreen canopy, and largely intact, remote wilderness.
  • D. Chocó–Darién moist forests
    The Chocó–Darién moist forests are a highly biodiverse tropical rainforest ecoregion along the Pacific coast of Colombia and Panama, known for extreme rainfall, rich endemic species, and largely intact wilderness.
  • E. Amazon rainforest
    The Amazon rainforest is the world’s largest tropical rainforest, renowned for its extraordinary biodiversity and critical role in regulating the global climate.
  • 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: Southwest Amazon moist forests
Triple: [Peruvian Amazon, ecoregion, Southwest Amazon moist forests]
Generated description
The Southwest Amazon moist forests are a highly biodiverse tropical rainforest ecoregion spanning parts of Peru, Brazil, and Bolivia, known for its rich wildlife, extensive river systems, and relatively intact primary forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Southwest Amazon moist forests
Target entity description: The Southwest Amazon moist forests are a highly biodiverse tropical rainforest ecoregion spanning parts of Peru, Brazil, and Bolivia, known for its rich wildlife, extensive river systems, and relatively intact primary forest.
  • A. Tapajós–Xingu moist forests
    The Tapajós–Xingu moist forests are a biodiverse tropical rainforest ecoregion in the central Brazilian Amazon, known for its rich endemic wildlife and extensive, relatively undisturbed forest cover between the Tapajós and Xingu rivers.
  • B. Northwestern Amazonia
    Northwestern Amazonia is a culturally and ecologically diverse region of the upper Amazon Basin, spanning parts of countries like Colombia, Ecuador, Peru, and Brazil and known for its dense rainforests and numerous Indigenous languages and peoples.
  • C. Guayanan moist forests
    Guayanan moist forests are a vast tropical rainforest ecoregion of the Guiana Shield in northern South America, noted for their high biodiversity, dense evergreen canopy, and largely intact, remote wilderness.
  • D. Chocó–Darién moist forests
    The Chocó–Darién moist forests are a highly biodiverse tropical rainforest ecoregion along the Pacific coast of Colombia and Panama, known for extreme rainfall, rich endemic species, and largely intact wilderness.
  • E. Amazon rainforest
    The Amazon rainforest is the world’s largest tropical rainforest, renowned for its extraordinary biodiversity and critical role in regulating the global climate.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8774cd8881909b3437ba02018444 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339037b4819084423826b7252002 completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf34fccbd88190a8e32ccaa86b72e8 completed March 22, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_69bf35570404819090e553b7921c4cb8 completed March 22, 2026, 12:18 a.m.
Created at: March 20, 2026, 2:04 p.m.