Triple
T12281421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | llvm-ar |
E292723
|
entity |
| Predicate | interoperableWith |
P14647
|
FINISHED |
| Object | LLVM linker lld |
E292709
|
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: LLVM linker lld | Statement: [llvm-ar, interoperableWith, LLVM linker lld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LLVM linker lld Context triple: [llvm-ar, interoperableWith, LLVM linker lld]
-
A.
LLD linker
chosen
LLD linker is LLVM’s high-performance, modern linker designed as a faster, drop-in replacement for traditional system linkers across multiple platforms.
-
B.
LLVM
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
-
C.
llvm-ar
llvm-ar is the LLVM project's implementation of the Unix archiver tool, used to create, modify, and extract from static library archives.
-
D.
LLDC
LLDC is a public body responsible for the long-term planning, development, and management of the Queen Elizabeth Olympic Park and surrounding areas in east London following the 2012 Olympic Games.
-
E.
jlink
jlink is a Java tool that assembles and optimizes custom runtime images by linking a set of modules into a tailored Java runtime.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.