Triple
T18799683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayavi |
E459728
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | VTK |
—
|
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: VTK | Statement: [Mayavi, basedOn, VTK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VTK Context triple: [Mayavi, basedOn, VTK]
-
A.
ITK
ITK is the national Inuit organization in Canada that represents and advocates for Inuit rights and interests at the federal level.
-
B.
VMD
VMD is the acronym for the Veterinary Medicines Directorate, the UK government agency responsible for regulating veterinary medicines and promoting animal health and welfare.
-
C.
Kitware
chosen
Kitware is a software research and development company best known for creating open-source tools and platforms for scientific computing, visualization, and software build management.
-
D.
Mayavi
Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
-
E.
OSG
OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.