Triple

T35123309
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 70 in California E1014223 entity
Predicate followedCorridorOf P113763 FINISHED
Object Ramona Boulevard
Ramona Boulevard is a major east–west arterial road in the San Gabriel Valley region of Los Angeles County, California, serving as a key local thoroughfare through several communities.
E2141593 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: Ramona Boulevard | Statement: [U.S. Route 70 in California, followedCorridorOf, Ramona Boulevard]
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: Ramona Boulevard
Triple: [U.S. Route 70 in California, followedCorridorOf, Ramona Boulevard]
Generated description
Ramona Boulevard is a major east–west arterial road in the San Gabriel Valley region of Los Angeles County, California, serving as a key local thoroughfare through several communities.

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_69f76dd8b6948190aaa32b081816bd94 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fef4569d6481908ea181c61c735d95 completed May 9, 2026, 8:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a384017c71481908444d52ef44b1e15 completed June 21, 2026, 7:48 p.m.
NEDg Description generation batch_6a3840adcad081908294292104447b0c completed June 21, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_6a38411c749881908ea838276aeed039 completed June 21, 2026, 7:53 p.m.
Created at: May 3, 2026, 4:01 p.m.