Triple
T12899497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TeXstudio |
E308577
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | TeXstudio |
E308577
|
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: TeXstudio | Statement: [TeXstudio, hasName, TeXstudio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TeXstudio Context triple: [TeXstudio, hasName, TeXstudio]
-
A.
TeXstudio
chosen
TeXstudio is a cross-platform, feature-rich integrated writing environment designed to make creating and editing LaTeX documents easier and more efficient.
-
B.
TeXworks
TeXworks is a free, cross-platform LaTeX editing environment that provides an integrated PDF viewer and a simple, TeXShop-inspired interface for creating and typesetting documents.
-
C.
LaTeXiT
LaTeXiT is a macOS application that lets users quickly typeset LaTeX equations and export them as images or PDFs for use in other documents and presentations.
-
D.
WinEdt
WinEdt is a powerful, customizable text editor for Windows widely used as a front-end for creating and managing LaTeX documents.
-
E.
LyX
LyX is an open-source, document processor and graphical front-end for LaTeX that lets users create structured, professional-quality documents without directly writing LaTeX code.
- 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_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56189b081909ed838addcb6d265 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.