Triple

T32855281
Position Surface form Disambiguated ID Type / Status
Subject Serra da Canastra E840358 entity
Predicate contains P35 FINISHED
Object Serra da Canastra National Park
Serra da Canastra National Park is a protected area in Minas Gerais, Brazil, renowned for its dramatic plateaus, waterfalls, and the headwaters of the São Francisco River, as well as its rich biodiversity and cerrado ecosystems.
E2029803 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: Serra da Canastra National Park | Statement: [Serra da Canastra, contains, Serra da Canastra National Park]
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: Serra da Canastra National Park
Triple: [Serra da Canastra, contains, Serra da Canastra National Park]
Generated description
Serra da Canastra National Park is a protected area in Minas Gerais, Brazil, renowned for its dramatic plateaus, waterfalls, and the headwaters of the São Francisco River, as well as its rich biodiversity and cerrado ecosystems.

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_69f349412c78819084459850e11d29f7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce7d0c2481908adf89dce746b0fd completed May 3, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d250ec7c8190b92e169356eafa1a completed June 19, 2026, 5:23 a.m.
NEDg Description generation batch_6a34d3995b5c819094a05be8cd71d19f completed June 19, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_6a34d423fc108190aeb3f93fbabdf591 completed June 19, 2026, 5:31 a.m.
Created at: May 1, 2026, 1:17 a.m.