Triple

T1688544
Position Surface form Disambiguated ID Type / Status
Subject Sabana de Bogotá E36496 entity
Predicate hasWetland P24156 FINISHED
Object Bogotá savanna wetlands
The Bogotá savanna wetlands are a network of high-Andean marshes and aquatic ecosystems in the Bogotá plateau that provide critical habitat for native wildlife and important ecological services such as water regulation and biodiversity conservation.
E197050 NE FINISHED

How this triple was built (5 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: Bogotá savanna wetlands | Statement: [Sabana de Bogotá, hasWetland, Bogotá savanna wetlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogotá savanna wetlands
Context triple: [Sabana de Bogotá, hasWetland, Bogotá savanna wetlands]
  • A. Orinoco Llanos floodplains
    The Orinoco Llanos floodplains are vast seasonally inundated grasslands in the Orinoco River basin of Venezuela and Colombia, known for their rich biodiversity and extensive wetlands.
  • B. Iberá Wetlands
    The Iberá Wetlands are one of the largest freshwater wetland ecosystems in the world, located in northeastern Argentina and renowned for their rich biodiversity and ecotourism opportunities.
  • C. 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.
  • D. Sabana de Bogotá
    Sabana de Bogotá is a high Andean plateau in central Colombia that hosts the capital city of Bogotá and serves as a major agricultural and population center.
  • E. Bogotá River basin
    The Bogotá River basin is a watershed in central Colombia that drains the Bogotá savanna and surrounding Andean highlands, encompassing major urban and industrial areas including the capital region.
  • 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: Bogotá savanna wetlands
Triple: [Sabana de Bogotá, hasWetland, Bogotá savanna wetlands]
Generated description
The Bogotá savanna wetlands are a network of high-Andean marshes and aquatic ecosystems in the Bogotá plateau that provide critical habitat for native wildlife and important ecological services such as water regulation and biodiversity conservation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bogotá savanna wetlands
Target entity description: The Bogotá savanna wetlands are a network of high-Andean marshes and aquatic ecosystems in the Bogotá plateau that provide critical habitat for native wildlife and important ecological services such as water regulation and biodiversity conservation.
  • A. Orinoco Llanos floodplains
    The Orinoco Llanos floodplains are vast seasonally inundated grasslands in the Orinoco River basin of Venezuela and Colombia, known for their rich biodiversity and extensive wetlands.
  • B. Iberá Wetlands
    The Iberá Wetlands are one of the largest freshwater wetland ecosystems in the world, located in northeastern Argentina and renowned for their rich biodiversity and ecotourism opportunities.
  • C. 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.
  • D. Sabana de Bogotá
    Sabana de Bogotá is a high Andean plateau in central Colombia that hosts the capital city of Bogotá and serves as a major agricultural and population center.
  • E. Bogotá River basin
    The Bogotá River basin is a watershed in central Colombia that drains the Bogotá savanna and surrounding Andean highlands, encompassing major urban and industrial areas including the capital region.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWetland
Context triple: [Sabana de Bogotá, hasWetland, Bogotá savanna wetlands]
  • A. containsWetland chosen
    Indicates that one area or region includes within its boundaries a wetland ecosystem.
  • B. hasWatershed
    Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
  • C. RamsarSite
    Indicates that a wetland has been designated as a Ramsar Site, meaning it is recognized under the Ramsar Convention as a wetland of international importance.
  • D. hasMarineEcosystem
    Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
  • E. hasAreaWaterBody
    Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
  • F. None of above.

Provenance (6 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf3359ce48190803b322db8ad6027 completed March 6, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0cb18348190baf7a30c231c7349 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada28b008c8190a46570a9f5f9f7a3 completed March 8, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69ada4dfc9188190845a4e4490318d68 completed March 8, 2026, 4:33 p.m.
PD Predicate disambiguation batch_69aa61b71cec8190b273588051058ebd completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:29 p.m.