Triple
T12899921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pgfplots |
E308585
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
PGFPlotsTable
PGFPlotsTable is a LaTeX package that provides tools for loading, manipulating, and plotting tabular data in conjunction with the PGFPlots plotting framework.
|
E308585
|
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: PGFPlotsTable | Statement: [pgfplots, integratesWith, PGFPlotsTable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PGFPlotsTable Context triple: [pgfplots, integratesWith, PGFPlotsTable]
-
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.
tabla
The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
-
D.
Tabular Editor
Tabular Editor is a specialized development tool for creating, managing, and optimizing tabular models used in platforms like Azure Analysis Services and Power BI.
-
E.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
- 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: PGFPlotsTable Triple: [pgfplots, integratesWith, PGFPlotsTable]
Generated description
PGFPlotsTable is a LaTeX package that provides tools for loading, manipulating, and plotting tabular data in conjunction with the PGFPlots plotting framework.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PGFPlotsTable Target entity description: PGFPlotsTable is a LaTeX package that provides tools for loading, manipulating, and plotting tabular data in conjunction with the PGFPlots plotting framework.
-
A.
pgfplots
chosen
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.
tabla
The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
-
D.
Tabular Editor
Tabular Editor is a specialized development tool for creating, managing, and optimizing tabular models used in platforms like Azure Analysis Services and Power BI.
-
E.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
- F. None of above.
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.