Triple

T11885346
Position Surface form Disambiguated ID Type / Status
Subject Madre de Dios Region E282765 entity
Predicate hasEcoregion P948 FINISHED
Object Madeira-Tapajós moist forests
The Madeira-Tapajós moist forests are a biodiverse tropical rainforest ecoregion in the southwestern Amazon Basin, characterized by dense evergreen forests, high rainfall, and rich endemic wildlife.
 E953312 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: Madeira-Tapajós moist forests | Statement: [Madre de Dios Region, hasEcoregion, Madeira-Tapajós moist forests]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madeira-Tapajós moist forests
Context triple: [Madre de Dios Region, hasEcoregion, Madeira-Tapajós 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. 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.
  • C. Napo moist forests
    Napo moist forests are a biodiverse tropical rainforest ecoregion in the western Amazon Basin, spanning parts of Peru, Ecuador, and Colombia and renowned for their exceptionally high species richness and endemism.
  • D. Amapá National Forest
    Amapá National Forest is a federally protected tropical rainforest area in the Brazilian state of Amapá, designated for sustainable use, conservation of biodiversity, and scientific research.
  • E. Carajás National Forest
    Carajás National Forest is a vast protected rainforest area in Brazil’s Amazon region, known for its rich biodiversity and significant mineral resources.
  • 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: Madeira-Tapajós moist forests
Triple: [Madre de Dios Region, hasEcoregion, Madeira-Tapajós moist forests]
Generated description
The Madeira-Tapajós moist forests are a biodiverse tropical rainforest ecoregion in the southwestern Amazon Basin, characterized by dense evergreen forests, high rainfall, and rich endemic wildlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madeira-Tapajós moist forests
Target entity description: The Madeira-Tapajós moist forests are a biodiverse tropical rainforest ecoregion in the southwestern Amazon Basin, characterized by dense evergreen forests, high rainfall, and rich endemic wildlife.
  • 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. 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.
  • C. Napo moist forests
    Napo moist forests are a biodiverse tropical rainforest ecoregion in the western Amazon Basin, spanning parts of Peru, Ecuador, and Colombia and renowned for their exceptionally high species richness and endemism.
  • D. Amapá National Forest
    Amapá National Forest is a federally protected tropical rainforest area in the Brazilian state of Amapá, designated for sustainable use, conservation of biodiversity, and scientific research.
  • E. Carajás National Forest
    Carajás National Forest is a vast protected rainforest area in Brazil’s Amazon region, known for its rich biodiversity and significant mineral resources.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a13370819086386fecb99e4f0b completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417da310c8190aa04df2a316a5dd0 completed May 1, 2026, 3:02 a.m.
NEDg Description generation batch_69f41f1abaa481908b8a6873a07af848 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f422778a10819093bc2473ef30fe71 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.