Triple

T4447552
Position Surface form Disambiguated ID Type / Status
Subject El Cerrito, California, United States E96325 entity
Predicate originalName P65 FINISHED
Object Rust
Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
E446075 NE FINISHED

How this triple was built (4 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: Rust | Statement: [El Cerrito, California, United States, originalName, Rust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust
Context triple: [El Cerrito, California, United States, originalName, Rust]
  • A. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • B. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • C. Rust Foundation
    The Rust Foundation is a non-profit organization that supports the development, ecosystem, and community of the Rust programming language.
  • D. Deno
    Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
  • E. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rust
Triple: [El Cerrito, California, United States, originalName, Rust]
Generated description
Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rust
Target entity description: Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
  • A. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • B. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • C. Rust Foundation
    The Rust Foundation is a non-profit organization that supports the development, ecosystem, and community of the Rust programming language.
  • D. Deno
    Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
  • E. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • F. None of above. chosen

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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd56ada9508190ab5566490c527d3f completed March 20, 2026, 2:16 p.m.
NEDg Description generation batch_69bd62f8acb48190943f3c53ee985a5d completed March 20, 2026, 3:08 p.m.
NED2 Entity disambiguation (via description) batch_69bd636693d48190a94b2f6d5a6576a1 completed March 20, 2026, 3:10 p.m.
Created at: March 12, 2026, 11:32 p.m.