Triple
T12899880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pgfplots |
E308585
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
TikZ
TikZ is a powerful LaTeX package for creating high-quality vector graphics and diagrams directly within TeX documents using a descriptive drawing syntax.
|
E1008103
|
NE FINISHED |
How this triple was built (4 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: TikZ | Statement: [pgfplots, basedOn, TikZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TikZ Context triple: [pgfplots, basedOn, TikZ]
-
A.
pgfplots
pgfplots is a LaTeX package for creating high-quality plots and graphs based on the PGF/TikZ drawing framework.
-
B.
PGF
PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
-
C.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
D.
Inkscape
Inkscape is a free, open-source vector graphics editor known for creating and editing scalable illustrations, logos, and diagrams.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TikZ Triple: [pgfplots, basedOn, TikZ]
Generated description
TikZ is a powerful LaTeX package for creating high-quality vector graphics and diagrams directly within TeX documents using a descriptive drawing syntax.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TikZ Target entity description: TikZ is a powerful LaTeX package for creating high-quality vector graphics and diagrams directly within TeX documents using a descriptive drawing syntax.
-
A.
pgfplots
pgfplots is a LaTeX package for creating high-quality plots and graphs based on the PGF/TikZ drawing framework.
-
B.
PGF
PGF is the IATA airport code for Perpignan–Rivesaltes Airport in southern France.
-
C.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
D.
Inkscape
Inkscape is a free, open-source vector graphics editor known for creating and editing scalable illustrations, logos, and diagrams.
-
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. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f6a6179cdc8190976daa1384032445 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a6cbec348190a96a0194b2d6be4b |
completed | May 3, 2026, 1:37 a.m. |
Created at: April 9, 2026, 5:40 p.m.