Triple
T18265871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | METAPOST |
E437480
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | PGF/TikZ |
—
|
NE NERFINISHED |
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: PGF/TikZ | Statement: [METAPOST, relatedTo, PGF/TikZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PGF/TikZ Context triple: [METAPOST, relatedTo, PGF/TikZ]
-
A.
TikZ
chosen
TikZ is a powerful LaTeX package for creating high-quality vector graphics and diagrams directly within TeX documents using a descriptive drawing syntax.
-
B.
pgfplots
pgfplots is a LaTeX package for creating high-quality plots and graphs based on the PGF/TikZ drawing framework.
-
C.
PGF
PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
-
D.
METAPOST
METAPOST is a programming language and system for creating vector graphics, especially technical illustrations, by producing PostScript output using a syntax similar to METAFONT.
-
E.
LaTeX
LaTeX is a widely used, high-quality typesetting system particularly popular in academia for producing technical and scientific documents with precise control over layout and mathematical notation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff79851481909a4bbeb14fb00647 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.