Triple
T35652811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Mazateca |
E1030198
|
entity |
| Predicate | traditionalPlantUse |
P6999
|
FINISHED |
| Object | psilocybin mushrooms |
—
|
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: psilocybin mushrooms | Statement: [Sierra Mazateca, traditionalPlantUse, psilocybin mushrooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalPlantUse Context triple: [Sierra Mazateca, traditionalPlantUse, psilocybin mushrooms]
-
A.
traditionalUse
chosen
Indicates that something is used or practiced according to long-established customs, habits, or cultural traditions.
-
B.
traditionalUseDomain
Indicates that something is traditionally used or applied within a particular domain, field, or area of practice.
-
C.
traditionalUseSince
Indicates that something has been used in a traditional way starting from a specified point in time.
-
D.
plantUse
Indicates that a plant is used for a particular purpose, function, or application.
-
E.
partUsedMedicinally
Indicates that a specific part of an entity (such as a plant or organism) is used for medicinal purposes.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.