Triple
T12899232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LuaTeX |
E308572
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | MiKTeX |
E308576
|
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: MiKTeX | Statement: [LuaTeX, partOf, MiKTeX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MiKTeX Context triple: [LuaTeX, partOf, MiKTeX]
-
A.
MiKTeX
chosen
MiKTeX is a popular free distribution of the LaTeX typesetting system for Windows and other platforms, providing an easy installer and automatic package management.
-
B.
W32TeX
W32TeX is a TeX distribution for Microsoft Windows that provides a comprehensive environment for typesetting documents, particularly those using Japanese pTeX extensions.
-
C.
TeXstudio
TeXstudio is a cross-platform, feature-rich integrated writing environment designed to make creating and editing LaTeX documents easier and more efficient.
-
D.
TeX Live
TeX Live is a comprehensive, cross-platform TeX distribution that provides a full suite of tools, macros, and fonts for typesetting documents with TeX, LaTeX, and related systems.
-
E.
MacTeX
MacTeX is a comprehensive TeX distribution tailored for macOS, bundling LaTeX, related tools, and a native installer for Mac users.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8cec96c819089d253162bc4705a |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:40 p.m.