Triple

T23433988
Position Surface form Disambiguated ID Type / Status
Subject Silverado Canyon E563406 entity
Predicate accessRoad P9041 FINISHED
Object Silverado Canyon Road
Silverado Canyon Road is a winding mountain roadway in eastern Orange County, California, that connects suburban areas to the rural community and natural landscapes of Silverado Canyon.
E1596820 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: Silverado Canyon Road | Statement: [Silverado Canyon, accessRoad, Silverado Canyon Road]
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: Silverado Canyon Road
Triple: [Silverado Canyon, accessRoad, Silverado Canyon Road]
Generated description
Silverado Canyon Road is a winding mountain roadway in eastern Orange County, California, that connects suburban areas to the rural community and natural landscapes of Silverado Canyon.

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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d9f0d48190903f43d044bcf2dd completed April 29, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f454869608190b2d1b1866e597c64 completed May 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a0f4732991c819090acd6744f1b5cd5 completed May 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f47edf76c819083722440930ae47c completed May 21, 2026, 5:59 p.m.
Created at: April 17, 2026, 5:49 p.m.