Triple
T4215982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scutia |
E94215
|
entity |
| Predicate | organismScope |
P3591
|
FINISHED |
| Object | vascular plants |
—
|
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: vascular plants | Statement: [Scutia, organismScope, vascular plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organismScope Context triple: [Scutia, organismScope, vascular plants]
-
A.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
B.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
C.
isModelOrganism
Indicates that one organism is used as a representative experimental system for studying biological processes relevant to other organisms.
-
D.
organizationalScope
Indicates the range or extent of responsibility, authority, or applicability that an action, policy, or relationship has within an organization or its sub-units.
-
E.
biota
chosen
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.