Triple

T38351914
Position Surface form Disambiguated ID Type / Status
Subject Catamayo River E1046209 entity
Predicate alternativeName P39 FINISHED
Object Río Catamayo
Río Catamayo is a river in southern Ecuador that flows through the Loja and El Oro provinces before crossing into northern Peru, where it is known as the Chira River.
 E2283584 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: Río Catamayo | Statement: [Catamayo River, alternativeName, Río Catamayo]
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: Río Catamayo
Triple: [Catamayo River, alternativeName, Río Catamayo]
Generated description
Río Catamayo is a river in southern Ecuador that flows through the Loja and El Oro provinces before crossing into northern Peru, where it is known as the Chira 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_69f76e3a94fc81908edc175e8d259e80 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcc6f7031081908ea134805c644d79 completed May 7, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a425ebb349c8190afa3b773afb0acec completed June 29, 2026, 12:02 p.m.
NEDg Description generation batch_6a425fef6dc8819089496356993df227 completed June 29, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_6a42616dc7608190850ef86a06aa08e8 completed June 29, 2026, 12:13 p.m.
Created at: May 3, 2026, 4:31 p.m.