Triple
T36198475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephania cephalantha |
E1047191
|
entity |
| Predicate | organismDomain |
P193687
|
FINISHED |
| Object | Eukaryota |
—
|
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: Eukaryota | Statement: [Stephania cephalantha, organismDomain, Eukaryota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organismDomain Context triple: [Stephania cephalantha, organismDomain, Eukaryota]
-
A.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
B.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
C.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
D.
tipoDeOrganismo
Indicates that one entity is classified as a specific type or category of organism in relation to another.
-
E.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
- F. None of above. chosen
Provenance (4 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: May 3, 2026, 4:08 p.m.