Triple
T2716478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLVM |
E59978
|
entity |
| Predicate | supportsLanguageFrontend |
P2177
|
FINISHED |
| Object | C++ (via Clang) |
E13747
|
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: C++ (via Clang) | Statement: [LLVM, supportsLanguageFrontend, C++ (via Clang)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C++ (via Clang) Context triple: [LLVM, supportsLanguageFrontend, C++ (via Clang)]
-
A.
Clang
Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
-
B.
C++
chosen
C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
-
C.
CPP
CPP is a Canadian government-run public pension program that provides retirement, disability, and survivor benefits to eligible contributors.
-
D.
CPP
CPP is a public polytechnic university in Pomona, California, known for its hands-on, learn-by-doing educational approach.
-
E.
LLVM
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdd1fc30c81909ac06588d50abdf8 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68c3ccc81909995d17651af27ed |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.