Triple
T34658778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diplopterys cabrerana |
E890050
|
entity |
| Predicate | roleInAyahuascaBrew |
P202974
|
FINISHED |
| Object | source of visionary effects |
—
|
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: source of visionary effects | Statement: [Diplopterys cabrerana, roleInAyahuascaBrew, source of visionary effects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAyahuascaBrew Context triple: [Diplopterys cabrerana, roleInAyahuascaBrew, source of visionary effects]
-
A.
roleInAyahuasca
chosen
Indicates the specific function, responsibility, or participation an entity has within the context of an ayahuasca ceremony or practice.
-
B.
roleInRitual
Indicates the specific function, position, or responsibility an entity holds within a particular ritual or ceremonial activity.
-
C.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
D.
roleInPurifiers
Indicates that an entity holds a specific role or function within a group, system, or organization referred to as "Purifiers."
-
E.
roleInMacondo
Indicates the specific function, position, or significance an entity holds within the context of Macondo.
- 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_6a00d820a7788190a8d54625cd87be68 |
completed | May 10, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_6a00d7c5b40c8190b80413238d04e81e |
completed | May 10, 2026, 7:08 p.m. |
Created at: May 1, 2026, 2:04 a.m.