Triple

T20689720
Position Surface form Disambiguated ID Type / Status
Subject Tambo River E508516 entity
Predicate sourceConfluenceOf P409 FINISHED
Object Ene River
The Ene River is a major waterway in central Peru that flows through remote Andean and Amazonian regions, forming part of the headwaters of the Ucayali River system.
 E1773477 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: Ene River | Statement: [Tambo River, sourceConfluenceOf, Ene 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: Ene River
Triple: [Tambo River, sourceConfluenceOf, Ene River]
Generated description
The Ene River is a major waterway in central Peru that flows through remote Andean and Amazonian regions, forming part of the headwaters of the Ucayali River system.

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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10cb5588190acb88f2c82fc593a completed April 21, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12b209a2888190ab97a5f521f17322 completed May 24, 2026, 8:08 a.m.
NEDg Description generation batch_6a12b4a525b88190bb16afa9a4ff84c7 completed May 24, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_6a12b545d37881909ea7fd3c96e8272b completed May 24, 2026, 8:22 a.m.
Created at: April 16, 2026, 12:05 p.m.