Triple

T30221401
Position Surface form Disambiguated ID Type / Status
Subject Interstate 5 in Vancouver, Washington E768352 entity
Predicate hasJunctionWith P1018 FINISHED
Object State Route 501
State Route 501 is a Washington state highway serving the Vancouver area, providing local access between the city, nearby industrial zones, and the Columbia River waterfront.
 E2295165 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 501 | Statement: [Interstate 5 in Vancouver, Washington, hasJunctionWith, State Route 501]
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 501
Triple: [Interstate 5 in Vancouver, Washington, hasJunctionWith, State Route 501]
Generated description
State Route 501 is a Washington state highway serving the Vancouver area, providing local access between the city, nearby industrial zones, and the Columbia River waterfront.

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_69f2247fd8b8819087fcf83cb7a05eb8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6801da3e88190a4862f59160e6832 completed May 2, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7d13453be08190b404f2df5a36d79b completed Aug. 13, 2026, 12:43 a.m.
NEDg Description generation batch_6a7d139b0b0881908f19f82d03e68951 completed Aug. 13, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a7d14039d0c819087cc6ed43216cfc2 completed Aug. 13, 2026, 12:46 a.m.
Created at: April 29, 2026, 7:35 p.m.