Triple
T34092006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAGL |
E874321
|
entity |
| Predicate | catalyticActivity |
P176305
|
FINISHED |
| Object | monoacylglycerol + H2O → glycerol + fatty acid |
—
|
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: monoacylglycerol + H2O → glycerol + fatty acid | Statement: [MAGL, catalyticActivity, monoacylglycerol + H2O → glycerol + fatty acid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalyticActivity Context triple: [MAGL, catalyticActivity, monoacylglycerol + H2O → glycerol + fatty acid]
-
A.
hasEnzymeActivity
chosen
Indicates that an entity performs or exhibits a specific enzyme-catalyzed biochemical activity.
-
B.
actsOnEnzyme
Indicates that one entity performs an action that affects the activity, function, or state of an enzyme.
-
C.
enzymeType
Indicates the specific class or category of enzyme associated with an entity or reaction.
-
D.
catalystPromoter
Indicates that one entity enhances or facilitates the catalytic activity or effectiveness of another entity.
-
E.
catalyst
Indicates that one entity facilitates or accelerates a process, reaction, or change involving another entity without itself being consumed or fundamentally altered.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c16095081908ffa34ea55556a65 |
completed | May 3, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.