Triple
T34658772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diplopterys cabrerana |
E890050
|
entity |
| Predicate | leafContains |
P119732
|
FINISHED |
| Object | N,N-dimethyltryptamine |
—
|
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: N,N-dimethyltryptamine | Statement: [Diplopterys cabrerana, leafContains, N,N-dimethyltryptamine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafContains Context triple: [Diplopterys cabrerana, leafContains, N,N-dimethyltryptamine]
-
A.
leafPresence
Indicates whether leaves are present on an entity (such as a plant or tree) during a given time or condition.
-
B.
petalContains
Indicates that one petal spatially or structurally encloses, includes, or holds another object or region within its bounds.
-
C.
currentContains
chosen
Indicates that one entity presently includes, encloses, or has another entity within its bounds or scope.
-
D.
regionContains
Indicates that one region spatially encompasses or includes another region within its boundaries.
-
E.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722cb433c81909bf0058b5845f5c2 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.