Triple
T18222118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ggplot2 |
E436330
|
entity |
| Predicate | hasExtensionEcosystem |
P130302
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [ggplot2, hasExtensionEcosystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtensionEcosystem Context triple: [ggplot2, hasExtensionEcosystem, yes]
-
A.
hasAccessoryEcosystem
Indicates that an entity is associated with a surrounding set of compatible accessories, add-ons, or peripheral products designed to work with it.
-
B.
supportsEcosystemType
Indicates that one entity provides suitable conditions or resources necessary to sustain or maintain a particular type of ecosystem.
-
C.
operatesInEcosystem
Indicates that an entity functions, behaves, or carries out its activities within a particular ecosystem or environmental context.
-
D.
isWithinEcosystem
Indicates that one entity is located inside, and functionally part of, the ecological system defined by another entity.
-
E.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
- F. None of above. chosen
Provenance (4 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.