Triple
T538278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moraceae |
E12373
|
entity |
| Predicate | typeGenus |
P5980
|
FINISHED |
| Object | Morus |
E19420
|
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: Morus | Statement: [Moraceae, typeGenus, Morus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morus Context triple: [Moraceae, typeGenus, Morus]
-
A.
Morus
chosen
Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
-
B.
Mespilus
Mespilus is a small genus of deciduous fruit-bearing trees or shrubs in the rose family, best known for the common medlar cultivated for its distinctive, late-ripening fruit.
-
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.
Broussonetia
Broussonetia is a small genus of deciduous trees and shrubs in the mulberry family, best known for the paper mulberry used traditionally for making paper and cloth.
-
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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dc0aac8190afb75ec6c47a1d2d |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c66fa348819081e004fb4350f4ea |
completed | March 1, 2026, 11:06 p.m. |
Created at: March 1, 2026, 7:32 p.m.