Triple

T15264469
Position Surface form Disambiguated ID Type / Status
Subject Lighthouse E364863 entity
Predicate programmingLanguage P1592 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: [Lighthouse, programmingLanguage, Rust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust
Context triple: [Lighthouse, programmingLanguage, 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
    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.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fdc21881909d87062db6fb8fb7 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.