Triple

T18608382
Position Surface form Disambiguated ID Type / Status
Subject Bonsall, California E454819 entity
Predicate transportation P230 FINISHED
Object State Route 76
State Route 76 is a major east–west highway in northern San Diego County, California, connecting coastal and inland communities through the San Luis Rey River corridor.
 E2190300 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 76 | Statement: [Bonsall, California, transportation, State Route 76]
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 76
Triple: [Bonsall, California, transportation, State Route 76]
Generated description
State Route 76 is a major east–west highway in northern San Diego County, California, connecting coastal and inland communities through the San Luis Rey River corridor.

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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54cff3be8819080ab20045bd18a4d completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f8e9e4d48190a702d88d80a750af completed June 23, 2026, 3:09 a.m.
NEDg Description generation batch_6a39fa8c3ee0819083b80165ae488466 completed June 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a39fc38e7e881909beb07c5e57980d6 completed June 23, 2026, 3:23 a.m.
Created at: April 10, 2026, 11:45 a.m.