Triple
T16311732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Spheres |
E396071
|
entity |
| Predicate | notablePlant |
P45448
|
FINISHED |
| Object | Ficus rubiginosa specimen tree |
—
|
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: Ficus rubiginosa specimen tree | Statement: [Amazon Spheres, notablePlant, Ficus rubiginosa specimen tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePlant Context triple: [Amazon Spheres, notablePlant, Ficus rubiginosa specimen tree]
-
A.
notableTreeSpecies
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
B.
famousPlants
chosen
Indicates that the plants in question are widely known or celebrated, typically for their distinctive characteristics, history, or cultural significance.
-
C.
isPlantOf
Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
-
D.
notableGenus
Indicates that one entity is a genus that is especially prominent, well-known, or significant in relation to the other entity.
-
E.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dafb608190be35bd60342bb44e |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.