Triple

T36837437
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 730 in Washington E910311 entity
Predicate passesNear P416 FINISHED
Object Wallula Junction
Wallula Junction is a small unincorporated community and transportation crossroads in Walla Walla County, Washington, near the confluence of the Snake and Columbia Rivers.
E1269364 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: Wallula Junction | Statement: [U.S. Route 730 in Washington, passesNear, Wallula Junction]
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: Wallula Junction
Triple: [U.S. Route 730 in Washington, passesNear, Wallula Junction]
Generated description
Wallula Junction is a small unincorporated community and transportation crossroads in Walla Walla County, Washington, near the confluence of the Snake and Columbia Rivers.

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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cf7f28348190bdf38395e66f7033 completed May 3, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde722de8819088707a69406c30c9 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3de007551c8190987f689f90968eed completed June 26, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a3de48f5cc48190b6ede4caf8298853 completed June 26, 2026, 2:31 a.m.
Created at: May 3, 2026, 4:13 p.m.