Triple
T3950479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boehmeriopsis |
E84852
|
entity |
| Predicate | hasTypeOfOrganism |
P37835
|
FINISHED |
| Object | vascular plant |
—
|
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 plant | Statement: [Boehmeriopsis, hasTypeOfOrganism, vascular plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfOrganism Context triple: [Boehmeriopsis, hasTypeOfOrganism, vascular plant]
-
A.
organismType
chosen
Indicates the biological classification or kind of organism that an entity is.
-
B.
isModelOrganism
Indicates that one organism is used as a representative experimental system for studying biological processes relevant to other organisms.
-
C.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
D.
hasPhylum
Indicates that an entity (typically a biological taxon or organism) is classified as belonging to a particular phylum in a taxonomic hierarchy.
-
E.
speciesType
Indicates the specific biological species category to which an entity belongs.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:30 p.m.