Triple
T23556254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skimmia |
E578192
|
entity |
| Predicate | notableSpecies |
P965
|
FINISHED |
| Object | Skimmia japonica |
—
|
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: Skimmia japonica | Statement: [Skimmia, notableSpecies, Skimmia japonica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skimmia japonica Context triple: [Skimmia, notableSpecies, Skimmia japonica]
-
A.
Skimmia
chosen
Skimmia is a small, evergreen, shade-tolerant shrub widely grown in gardens for its fragrant flowers and colorful berries.
-
B.
Kerria japonica
Kerria japonica is a deciduous flowering shrub in the rose family, valued in gardens for its bright yellow, pom-pom-like spring blossoms.
-
C.
Prunus serrulata
Prunus serrulata is an ornamental East Asian cherry tree species celebrated for its showy spring blossoms, especially in Japanese cherry blossom festivals.
-
D.
Stewartia
Stewartia is a small genus of ornamental flowering trees and shrubs known for their camellia-like blossoms, attractive bark, and vibrant autumn foliage.
-
E.
Loropetalum
Loropetalum is a genus of ornamental evergreen shrubs known for their fringe-like flowers and often colorful foliage, commonly used in landscaping.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed37f248190992f040f4d22f0bf |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:12 p.m.