Triple

T14759496
Position Surface form Disambiguated ID Type / Status
Subject Toutle, Washington E346818 entity
Predicate locatedOn P40 FINISHED
Object Toutle River
The Toutle River is a river in southwestern Washington State known for draining the slopes of Mount St. Helens and for the massive volcanic debris flows that reshaped its course after the 1980 eruption.
E1623756 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: Toutle River | Statement: [Toutle, Washington, locatedOn, Toutle 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: Toutle River
Triple: [Toutle, Washington, locatedOn, Toutle River]
Generated description
The Toutle River is a river in southwestern Washington State known for draining the slopes of Mount St. Helens and for the massive volcanic debris flows that reshaped its course after the 1980 eruption.

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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcd6237c8190815702e274a30c44 completed May 22, 2026, 2:17 a.m.
NEDg Description generation batch_6a0fbddd0ccc81908036002270cbf4f5 completed May 22, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf3f6c4481908f8dcd0168ee16a2 completed May 22, 2026, 2:28 a.m.
Created at: April 10, 2026, 1:30 a.m.