Triple

T24123262
Position Surface form Disambiguated ID Type / Status
Subject Kaiwá Guaraní E597720 entity
Predicate belongsToMacroArea P29552 FINISHED
Object South American lowlands
The South American lowlands are an extensive, predominantly tropical region of plains and low-lying terrain in South America, encompassing major river basins such as the Amazon and Paraná and hosting diverse ecosystems and indigenous cultures.
 E1622329 NE FINISHED

How this triple was built (2 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: South American lowlands | Statement: [Kaiwá Guaraní, belongsToMacroArea, South American lowlands]
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: South American lowlands
Triple: [Kaiwá Guaraní, belongsToMacroArea, South American lowlands]
Generated description
The South American lowlands are an extensive, predominantly tropical region of plains and low-lying terrain in South America, encompassing major river basins such as the Amazon and Paraná and hosting diverse ecosystems and indigenous cultures.

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_69e288c808b881909fed7d18f04bcbbe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dee5937c819092396751c23553ca completed April 29, 2026, 10:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad19ed148190941802509c24b5b2 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fb121d0dc81909c74c152c17b5d56 completed May 22, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0fb1d7653c81909d8903f88d91a085 completed May 22, 2026, 1:31 a.m.
Created at: April 17, 2026, 11:06 p.m.