Triple
T8357461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittaker five-kingdom system |
E196714
|
entity |
| Predicate | criterionForProtista |
P37835
|
FINISHED |
| Object | mostly unicellular eukaryotic organization |
—
|
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: mostly unicellular eukaryotic organization | Statement: [Whittaker five-kingdom system, criterionForProtista, mostly unicellular eukaryotic organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criterionForProtista Context triple: [Whittaker five-kingdom system, criterionForProtista, mostly unicellular eukaryotic organization]
-
A.
isEukaryote
Indicates that an organism belongs to the domain of life characterized by cells with a true nucleus and membrane-bound organelles.
-
B.
isMulticellular
Indicates that an organism consists of multiple cells organized into a single functional individual.
-
C.
organismType
chosen
Indicates the biological classification or kind of organism that an entity is.
-
D.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
E.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804b57f88190907a4e4e389caf5f |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.