Triple

T25071873
Position Surface form Disambiguated ID Type / Status
Subject Iriri River E627935 entity
Predicate hasTributary P415 FINISHED
Object Roncador River
The Roncador River is a watercourse in Brazil that forms part of the Amazon Basin’s extensive river network as a tributary of the Iriri River.
 E2099708 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: Roncador River | Statement: [Iriri River, hasTributary, Roncador River]
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: Roncador River
Triple: [Iriri River, hasTributary, Roncador River]
Generated description
The Roncador River is a watercourse in Brazil that forms part of the Amazon Basin’s extensive river network as a tributary of the Iriri River.

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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f45d14c8a8819093a0cea7bcf56400 completed May 1, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729b8e0b08190a930e4d355b143f8 completed June 21, 2026, midnight
NEDg Description generation batch_6a372beefb9081908c8fe969e86599c4 completed June 21, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a372cb51db48190825e0b9114b84c4a completed June 21, 2026, 12:13 a.m.
Created at: April 18, 2026, 6:13 a.m.