Triple

T17371795
Position Surface form Disambiguated ID Type / Status
Subject Portland downtown street network E422333 entity
Predicate connectedTo P37 FINISHED
Object State Route 22
State Route 22 is a major state highway in Oregon that runs west–east across the Willamette Valley, linking coastal and inland communities and serving as a key route into and out of Salem.
 E2028632 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: State Route 22 | Statement: [Portland downtown street network, connectedTo, State Route 22]
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: State Route 22
Triple: [Portland downtown street network, connectedTo, State Route 22]
Generated description
State Route 22 is a major state highway in Oregon that runs west–east across the Willamette Valley, linking coastal and inland communities and serving as a key route into and out of Salem.

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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a69d93c81908ce2d909857a3a11 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c650930081909de4b6ccdd43fbc3 completed June 19, 2026, 4:32 a.m.
NEDg Description generation batch_6a34c71d75b48190b3b47facc35ad833 completed June 19, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_6a34c7807d208190b7a50f84aa2b3058 completed June 19, 2026, 4:37 a.m.
Created at: April 10, 2026, 5:44 a.m.