Triple

T30479439
Position Surface form Disambiguated ID Type / Status
Subject Paine River E775535 entity
Predicate nameInSpanish P2789 FINISHED
Object Río Paine
Río Paine is a river in Chilean Patagonia that flows through the famed Torres del Paine National Park, contributing to its lakes, waterfalls, and dramatic glacial landscapes.
 E2068726 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 Paine | Statement: [Paine River, nameInSpanish, Río Paine]
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 Paine
Triple: [Paine River, nameInSpanish, Río Paine]
Generated description
Río Paine is a river in Chilean Patagonia that flows through the famed Torres del Paine National Park, contributing to its lakes, waterfalls, and dramatic glacial landscapes.

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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6871c7b4081908b43fb58b04f8c13 completed May 2, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a366e7289948190935c9a4dd719ae64 completed June 20, 2026, 10:41 a.m.
NEDg Description generation batch_6a366f1569bc8190bfdf0b57f76fc6a7 completed June 20, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a366fedb3588190bb44217ac4b2d3e8 completed June 20, 2026, 10:48 a.m.
Created at: April 29, 2026, 8:12 p.m.