Triple

T17568088
Position Surface form Disambiguated ID Type / Status
Subject BurntSushi E427868 entity
Predicate created P538 FINISHED
Object Rust csv crate
The Rust csv crate is a popular Rust library for efficiently reading, writing, and processing CSV data with strong type safety and performance.
 E1277725 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 csv crate | Statement: [BurntSushi, created, Rust csv crate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rust csv crate
Context triple: [BurntSushi, created, Rust csv crate]
  • A. 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.
  • B. CSV
    CSV (Comma-Separated Values) is a simple, text-based file format commonly used to store and exchange tabular data between different software applications and systems.
  • C. CSV
    Conseil scolaire Viamonde (CSV) is a French-language public secular school board serving students in various regions of Ontario, Canada.
  • D. CSV
    CSV is a major Christian democratic political party in Luxembourg, formally known as the Christian Social People's Party.
  • E. RFC 4180
    RFC 4180 is the Internet standard that formally specifies the common format and rules for Comma-Separated Values (CSV) files.
  • 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 csv crate
Triple: [BurntSushi, created, Rust csv crate]
Generated description
The Rust csv crate is a popular Rust library for efficiently reading, writing, and processing CSV data with strong type safety and performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rust csv crate
Target entity description: The Rust csv crate is a popular Rust library for efficiently reading, writing, and processing CSV data with strong type safety and performance.
  • A. 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.
  • B. CSV
    CSV (Comma-Separated Values) is a simple, text-based file format commonly used to store and exchange tabular data between different software applications and systems.
  • C. CSV
    Conseil scolaire Viamonde (CSV) is a French-language public secular school board serving students in various regions of Ontario, Canada.
  • D. CSV
    CSV is a major Christian democratic political party in Luxembourg, formally known as the Christian Social People's Party.
  • E. RFC 4180
    RFC 4180 is the Internet standard that formally specifies the common format and rules for Comma-Separated Values (CSV) files.
  • 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_6a01e80fd92881908714f3eb415b7d57 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01ecfb2ff4819082f67ab1f2ce8885 completed May 11, 2026, 2:51 p.m.
NED2 Entity disambiguation (via description) batch_6a01ee0c03e881908aaaa3bd0f596387 completed May 11, 2026, 2:56 p.m.
Created at: April 10, 2026, 5:50 a.m.