Triple

T17568078
Position Surface form Disambiguated ID Type / Status
Subject BurntSushi E427868 entity
Predicate notableWork P4 FINISHED
Object Rust regex crate
The Rust regex crate is a popular Rust library that provides fast, safe, and feature-rich regular expression support without relying on backtracking.
E1277125 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 regex crate | Statement: [BurntSushi, notableWork, Rust regex crate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust regex crate
Context triple: [BurntSushi, notableWork, Rust regex crate]
  • A. 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.
  • B. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • C. Rust
    Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
  • D. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • E. Rust
    Rust is a small, fast-paced multiplayer map in Call of Duty: Modern Warfare 2, known for its vertical design and intense close-quarters combat.
  • 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 regex crate
Triple: [BurntSushi, notableWork, Rust regex crate]
Generated description
The Rust regex crate is a popular Rust library that provides fast, safe, and feature-rich regular expression support without relying on backtracking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rust regex crate
Target entity description: The Rust regex crate is a popular Rust library that provides fast, safe, and feature-rich regular expression support without relying on backtracking.
  • A. 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.
  • B. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • C. Rust
    Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
  • D. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • E. Rust
    Rust is a small, fast-paced multiplayer map in Call of Duty: Modern Warfare 2, known for its vertical design and intense close-quarters combat.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592e56e481909249b831cecc31d5 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01dde400508190ab91b0ccfbffa726 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01dfef61fc8190810d31c91195c205 completed May 11, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a01e0a5f2188190b4a8604d197c6ac8 completed May 11, 2026, 1:59 p.m.
Created at: April 10, 2026, 5:50 a.m.