Triple

T24550247
Position Surface form Disambiguated ID Type / Status
Subject Virú E607340 entity
Predicate hasNearbyRiver P8567 FINISHED
Object Virú River
The Virú River is a coastal river in northern Peru that flows through the Virú Valley before emptying into the Pacific Ocean.
 E2274278 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: Virú River | Statement: [Virú, hasNearbyRiver, Virú 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: Virú River
Triple: [Virú, hasNearbyRiver, Virú River]
Generated description
The Virú River is a coastal river in northern Peru that flows through the Virú Valley before emptying into the Pacific Ocean.

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_69e2c4cae1b88190825e88d5ce8aa61e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8ccddec8190819e6366b3d6b6f0 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41e006cf0c819081e9867caed221e3 completed June 29, 2026, 3:01 a.m.
NEDg Description generation batch_6a41e0dc929c8190ba87f8433ad2f9a4 completed June 29, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a41e1631740819093f8e3d82b8f8ac3 completed June 29, 2026, 3:07 a.m.
Created at: April 18, 2026, 2:27 a.m.