Triple
T442926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosaceae |
E10152
|
entity |
| Predicate | hasMemberGenus |
P7638
|
FINISHED |
| Object | Prunus |
E18975
|
NE 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: Prunus | Statement: [Rosaceae, hasMemberGenus, Prunus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prunus Context triple: [Rosaceae, hasMemberGenus, Prunus]
-
A.
Prunus
chosen
Prunus is a genus of flowering trees and shrubs that includes cherries, plums, peaches, apricots, and almonds, many of which are important fruit and nut crops.
-
B.
Morus
Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
-
C.
Ulmus
Ulmus is a genus of deciduous trees commonly known as elms, widely distributed across the Northern Hemisphere and valued for their distinctive vase-shaped form and use in landscaping and timber.
-
D.
Elaeagnaceae
Elaeagnaceae is a small family of flowering plants, commonly known as the oleaster or silverberry family, that includes shrubs and small trees often adapted to dry or nutrient-poor soils.
-
E.
Zelkova
Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f01d8fa88190849d720b029db479 |
completed | Feb. 28, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e73555481909fc972eed3337945 |
completed | March 1, 2026, 1:26 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.