Triple
T25929093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madagascar dry deciduous forests |
E653385
|
entity |
| Predicate | floraExample |
P124774
|
FINISHED |
| Object | Adansonia grandidieri |
—
|
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: Adansonia grandidieri | Statement: [Madagascar dry deciduous forests, floraExample, Adansonia grandidieri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floraExample Context triple: [Madagascar dry deciduous forests, floraExample, Adansonia grandidieri]
-
A.
associatedFlora
Indicates a relationship where specific plants or vegetation are characteristically linked to, occur with, or are commonly found in association with a given entity or environment.
-
B.
examplePlant
chosen
Indicates that one entity serves as an illustrative or representative plant instance for another entity or context.
-
C.
studiedFloraOf
Indicates that a subject conducted research or examination on the plant life (flora) of a specified object or region.
-
D.
flowerUse
Indicates how a flower is used or purposed in a particular context (e.g., decorative, medicinal, culinary, or symbolic use).
-
E.
floweringPlantGroup
Indicates that the subject belongs to, or is classified within, a particular group or category of flowering plants.
- F. None of above.
Provenance (3 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6041710b481909f9583a3bbe16475 |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:36 a.m.