Triple
T23556574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilocarpus |
E578200
|
entity |
| Predicate | pilocarpineEffect |
P129477
|
FINISHED |
| Object | stimulates salivary secretion |
—
|
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: stimulates salivary secretion | Statement: [Pilocarpus, pilocarpineEffect, stimulates salivary secretion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilocarpineEffect Context triple: [Pilocarpus, pilocarpineEffect, stimulates salivary secretion]
-
A.
effectOnLacrimalGlands
Indicates an effect that one entity has on the function, structure, or activity of the lacrimal glands.
-
B.
effectOnSalivaryGlands
chosen
Indicates how one factor or condition influences the function, activity, or state of the salivary glands.
-
C.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
D.
inhibitedByDrug
Indicates that the activity, function, or effect of one entity is reduced, blocked, or otherwise suppressed due to the action of a specified drug.
-
E.
mechanismOfActionStudied
Indicates that the relationship involves examining or investigating how an action, intervention, or agent produces its effects or outcomes.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed37f248190992f040f4d22f0bf |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:12 p.m.