Triple
T12516157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Autotools |
E299195
|
entity |
| Predicate | typicalOutput |
P2475
|
FINISHED |
| Object | Makefile.in |
E62311
|
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: Makefile.in | Statement: [GNU Autotools, typicalOutput, Makefile.in]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makefile.in Context triple: [GNU Autotools, typicalOutput, Makefile.in]
-
A.
GNU Make
GNU Make is a widely used build automation tool that controls the compilation and linking of programs by interpreting makefiles to manage dependencies and execute commands efficiently.
-
B.
GNU Automake
chosen
GNU Automake is a build system tool that automatically generates portable Makefiles for software packages, following GNU coding and packaging standards.
-
C.
nmake.exe
nmake.exe is Microsoft’s command-line make utility used to build projects and manage compilation in the MSVC development environment.
-
D.
QMake
QMake is a build automation tool from the Qt framework that generates Makefiles and project files to simplify compiling and linking C++/Qt applications across platforms.
-
E.
BitBake
BitBake is a build engine and task scheduler widely used in embedded Linux development to generate complete, customizable system images from layered metadata.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.