Triple

T28164372
Position Surface form Disambiguated ID Type / Status
Subject Green–Duwamish River watershed E714984 entity
Predicate containsRiver P165 FINISHED
Object Green River
The Green River is a river in western Washington State that flows through both rural valleys and urban areas before joining the Duwamish River and ultimately emptying into Puget Sound.
 E187047 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: Green River | Statement: [Green–Duwamish River watershed, containsRiver, Green 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: Green River
Triple: [Green–Duwamish River watershed, containsRiver, Green River]
Generated description
The Green River is a river in western Washington State that flows through both rural valleys and urban areas before joining the Duwamish River and ultimately emptying into Puget Sound.

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_69efd6b156448190bfa15958208395c3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f641ed2a0c81909246ce42d3e01317 completed May 2, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a162795714c8190b30b232ba0bed8f0 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a162a3f36f88190af7ed6fd2b374f08 completed May 26, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a162b3ab17881909efd87953fa1c288 completed May 26, 2026, 11:22 p.m.
Created at: April 27, 2026, 10:08 p.m.