Triple
T12516220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M4 |
E299196
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | GNU Autoconf |
E61961
|
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: GNU Autoconf | Statement: [M4, relatedTo, GNU Autoconf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNU Autoconf Context triple: [M4, relatedTo, GNU Autoconf]
-
A.
GNU Autoconf
chosen
GNU Autoconf is a build configuration tool that automatically generates portable shell scripts to configure software packages for compilation on diverse Unix-like systems.
-
B.
GNU Autotools
GNU Autotools is a suite of build and configuration tools used primarily in Unix-like environments to produce portable, cross-platform software packages.
-
C.
GNU Automake
GNU Automake is a build system tool that automatically generates portable Makefiles for software packages, following GNU coding and packaging standards.
-
D.
Autoreconf
Autoreconf is a GNU Autotools utility that automatically regenerates a project's configuration scripts and related build files by invoking the appropriate autotools in the correct order.
-
E.
GNU libtool
GNU libtool is a generic library support script that simplifies the process of creating and using shared and static libraries in a portable way across different Unix-like systems.
- 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_69f6718cd6288190ad080f469f334caf |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.