Triple
T4443871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rustup |
E96233
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Rust |
E17650
|
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: Rust | Statement: [rustup, primaryLanguage, Rust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rust Context triple: [rustup, primaryLanguage, Rust]
-
A.
Rust
chosen
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b355b052688190a0d8e5912f82151c |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb61047c88819080943c2ce62c0ffd |
completed | March 19, 2026, 2:35 a.m. |
Created at: March 12, 2026, 11:32 p.m.