Triple
T816622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matplotlib |
E17663
|
entity |
| Predicate | partOfEcosystem |
P19967
|
FINISHED |
| Object | SciPy ecosystem |
—
|
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: SciPy ecosystem | Statement: [Matplotlib, partOfEcosystem, SciPy ecosystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfEcosystem Context triple: [Matplotlib, partOfEcosystem, SciPy ecosystem]
-
A.
primaryEcosystem
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
-
B.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
C.
biome
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
D.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
E.
formsEcotoneBetween
Indicates that one entity creates or constitutes a transitional boundary zone (ecotone) between two distinct ecological or environmental communities.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab621d2c819083f10bff4f66c482 |
completed | March 1, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69a4aa756920819080ae82948974c876 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4781c88190ae36906251347cdc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.