Triple
T34658673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banisteriopsis caapi |
E890048
|
entity |
| Predicate | containsChemicalClass |
P38028
|
FINISHED |
| Object | beta-carboline alkaloids |
—
|
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: beta-carboline alkaloids | Statement: [Banisteriopsis caapi, containsChemicalClass, beta-carboline alkaloids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsChemicalClass Context triple: [Banisteriopsis caapi, containsChemicalClass, beta-carboline alkaloids]
-
A.
hasChemicalClass
chosen
Indicates that an entity belongs to, or is categorized under, a particular chemical class based on its structural or compositional characteristics.
-
B.
containsChemical
Indicates that one entity includes or has within it a specified chemical substance.
-
C.
hasChemicalCluster
Indicates that one entity contains, is associated with, or is organized into a specific group or cluster of chemically related components or structures.
-
D.
hasChemicalProperty
Indicates that an entity possesses or exhibits a specific chemical property or characteristic.
-
E.
hasPharmacologicClass
Indicates that a drug or medicinal product belongs to a specific pharmacologic class based on its mechanism of action or therapeutic effect.
- 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_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: May 1, 2026, 2:04 a.m.