Triple
T11958619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AdaCore |
E284613
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
GNATbench
GNATbench is an Ada development plug-in for the Eclipse IDE that provides comprehensive support for editing, building, and debugging Ada applications.
|
E956205
|
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: GNATbench | Statement: [AdaCore, product, GNATbench]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNATbench Context triple: [AdaCore, product, GNATbench]
-
A.
gnat
GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
-
B.
GNATmake
GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
-
C.
AdaCore
AdaCore is a software company specializing in high-integrity, safety- and security-critical development tools and compilers for the Ada programming language.
-
D.
OpenAI Codex API
The OpenAI Codex API is a cloud-based interface that lets developers integrate Codex’s natural-language-to-code generation and code understanding capabilities into their own applications and tools.
-
E.
Static Code Checker
Static Code Checker is a software tool that automatically analyzes source code without executing it to detect bugs, security vulnerabilities, and style or quality issues.
- 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: GNATbench Triple: [AdaCore, product, GNATbench]
Generated description
GNATbench is an Ada development plug-in for the Eclipse IDE that provides comprehensive support for editing, building, and debugging Ada applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GNATbench Target entity description: GNATbench is an Ada development plug-in for the Eclipse IDE that provides comprehensive support for editing, building, and debugging Ada applications.
-
A.
gnat
GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
-
B.
GNATmake
GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
-
C.
AdaCore
AdaCore is a software company specializing in high-integrity, safety- and security-critical development tools and compilers for the Ada programming language.
-
D.
OpenAI Codex API
The OpenAI Codex API is a cloud-based interface that lets developers integrate Codex’s natural-language-to-code generation and code understanding capabilities into their own applications and tools.
-
E.
Static Code Checker
Static Code Checker is a software tool that automatically analyzes source code without executing it to detect bugs, security vulnerabilities, and style or quality issues.
- 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.