Triple
T11958617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AdaCore |
E284613
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
GNATcoverage
GNATcoverage is an AdaCore tool that measures and reports structural code coverage for Ada and other languages, supporting rigorous verification and certification needs.
|
E956203
|
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: GNATcoverage | Statement: [AdaCore, product, GNATcoverage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNATcoverage Context triple: [AdaCore, product, GNATcoverage]
-
A.
gcov
gcov is a test coverage analysis tool used with GCC to measure and report how much of a program’s source code is executed during runtime.
-
B.
dotCover
dotCover is a .NET unit test runner and code coverage tool designed to help developers measure and improve test coverage in Visual Studio.
-
C.
lcov
lcov is a graphical front-end and extension for the gcov code coverage tool that collects, processes, and visualizes test coverage data for C and C++ programs.
-
D.
GNATmake
GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
-
E.
gnat
GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
- 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: GNATcoverage Triple: [AdaCore, product, GNATcoverage]
Generated description
GNATcoverage is an AdaCore tool that measures and reports structural code coverage for Ada and other languages, supporting rigorous verification and certification needs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GNATcoverage Target entity description: GNATcoverage is an AdaCore tool that measures and reports structural code coverage for Ada and other languages, supporting rigorous verification and certification needs.
-
A.
gcov
gcov is a test coverage analysis tool used with GCC to measure and report how much of a program’s source code is executed during runtime.
-
B.
dotCover
dotCover is a .NET unit test runner and code coverage tool designed to help developers measure and improve test coverage in Visual Studio.
-
C.
lcov
lcov is a graphical front-end and extension for the gcov code coverage tool that collects, processes, and visualizes test coverage data for C and C++ programs.
-
D.
GNATmake
GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
-
E.
gnat
GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459210d1c8190953cd01da3d2ad04 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f4645ef63881909b46937f73d637a3 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f465be4db08190882898a17d077019 |
completed | May 1, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:45 p.m.