Triple
T34658670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banisteriopsis caapi |
E890048
|
entity |
| Predicate | hasActiveCompound |
P113728
|
FINISHED |
| Object | harmine |
—
|
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: harmine | Statement: [Banisteriopsis caapi, hasActiveCompound, harmine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActiveCompound Context triple: [Banisteriopsis caapi, hasActiveCompound, harmine]
-
A.
hasActiveMetabolite
Indicates that a substance produces one or more metabolites that remain pharmacologically active in the body.
-
B.
hasLigand
Indicates that an entity is bound to, associated with, or interacts specifically with a particular ligand.
-
C.
hasActiveSpecies
Indicates that an entity currently contains, supports, or is associated with one or more species that are alive or actively present.
-
D.
hasInactiveIngredient
Indicates that one entity contains another entity as a non-active (inactive) component or ingredient.
-
E.
hasSubstance
chosen
Indicates that one entity contains, consists of, or is composed of a particular substance or material.
- 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_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 2:04 a.m.