Triple

T26669782
Position Surface form Disambiguated ID Type / Status
Subject Ojos del Caburgua waterfalls E672292 entity
Predicate drainageBasin P1559 FINISHED
Object Toltén River basin
The Toltén River basin is a hydrological catchment area in southern Chile that collects waters from numerous rivers, lakes, and waterfalls, including the Ojos del Caburgua, before draining into the Pacific Ocean.
E1747661 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: Toltén River basin | Statement: [Ojos del Caburgua waterfalls, drainageBasin, Toltén River basin]
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: Toltén River basin
Triple: [Ojos del Caburgua waterfalls, drainageBasin, Toltén River basin]
Generated description
The Toltén River basin is a hydrological catchment area in southern Chile that collects waters from numerous rivers, lakes, and waterfalls, including the Ojos del Caburgua, before draining 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_69eecda00a9c8190b2691f4d89db03b6 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f616fdc73c81909243f5f64d36a698 completed May 2, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121e7eefe08190a364b22d92126454 completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a121f3c0dfc81908768b2670cb24b20 completed May 23, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a12203ee42c8190be6d4c4d9f0ec859 completed May 23, 2026, 9:46 p.m.
Created at: April 27, 2026, 3:12 a.m.