Triple

T30185902
Position Surface form Disambiguated ID Type / Status
Subject Makuxi E767333 entity
Predicate borderRegion P12818 FINISHED
Object Brazil–Guyana border
The Brazil–Guyana border is an international boundary in northern South America that runs largely through remote Amazonian rainforest and savanna regions inhabited by Indigenous peoples such as the Makuxi.
 E1902897 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: Brazil–Guyana border | Statement: [Makuxi, borderRegion, Brazil–Guyana border]
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: Brazil–Guyana border
Triple: [Makuxi, borderRegion, Brazil–Guyana border]
Generated description
The Brazil–Guyana border is an international boundary in northern South America that runs largely through remote Amazonian rainforest and savanna regions inhabited by Indigenous peoples such as the Makuxi.

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_69f2247cc3d88190811dec3face94bf5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67f7efc3c8190986d2d95b7a23729 completed May 2, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27586ae3ac8190986937ac6e447ea5 completed June 9, 2026, 12:03 a.m.
NEDg Description generation batch_6a275a4311f08190b067b8c94e48d019 completed June 9, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_6a275aeeed3c8190ba20d38ec0af1c74 completed June 9, 2026, 12:14 a.m.
Created at: April 29, 2026, 7:27 p.m.