Triple
T12562036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XeTeX |
E295373
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | MacTeX |
E295376
|
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: MacTeX | Statement: [XeTeX, partOf, MacTeX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacTeX Context triple: [XeTeX, partOf, MacTeX]
-
A.
MacTeX
chosen
MacTeX is a comprehensive TeX distribution tailored for macOS, bundling LaTeX, related tools, and a native installer for Mac users.
-
B.
XQuartz
XQuartz is an open-source project that provides a version of the X.Org X Window System for macOS, enabling X11-based applications to run on Apple’s operating system.
-
C.
MiKTeX
MiKTeX is a popular free distribution of the LaTeX typesetting system for Windows and other platforms, providing an easy installer and automatic package management.
-
D.
MacPorts
MacPorts is an open-source package management system that simplifies installing and managing third-party software on macOS via the command line.
-
E.
GNU TeXmacs
GNU TeXmacs is a free scientific editing platform that combines structured WYSIWYG typesetting with support for mathematical formulas, technical documents, and interaction with computer algebra 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:48 p.m.