Triple
T34091778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2 muscarinic acetylcholine receptor |
E874316
|
entity |
| Predicate | effectOnSecondMessenger |
P192516
|
FINISHED |
| Object | decreases cAMP levels |
—
|
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: decreases cAMP levels | Statement: [M2 muscarinic acetylcholine receptor, effectOnSecondMessenger, decreases cAMP levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnSecondMessenger Context triple: [M2 muscarinic acetylcholine receptor, effectOnSecondMessenger, decreases cAMP levels]
-
A.
hasSecondaryEffect
Indicates that an action, event, or primary effect produces an additional, indirect, or consequential effect beyond its main intended outcome.
-
B.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
C.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
D.
secondBowlEffect
Indicates the phenomenon where consuming a second bowl of food leads to a different (often diminished or altered) effect compared to the first bowl.
-
E.
effectOnOutput
Indicates how one factor, action, or condition influences or changes the resulting output of a process or system.
- F. None of above. chosen
Provenance (4 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: May 1, 2026, 1:52 a.m.