Triple
T21468724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | País |
E529664
|
entity |
| Predicate | geneticSpecies |
P144470
|
FINISHED |
| Object | Vitis vinifera |
—
|
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: Vitis vinifera | Statement: [País, geneticSpecies, Vitis vinifera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneticSpecies Context triple: [País, geneticSpecies, Vitis vinifera]
-
A.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
-
B.
studiedInSpecies
Indicates that a particular study, observation, or experiment was conducted using or within the specified species.
-
C.
governsSpecies
Indicates that one entity exercises authoritative control or regulatory power over the species represented by the other entity.
-
D.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
E.
hasScientificSpecies
Indicates that an entity is associated with a specific scientific (Latin) species name.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f58f6c8190a3d2fc8f820a9925 |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:16 p.m.