Triple
T34092007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAGL |
E874321
|
entity |
| Predicate | catalyticResidue |
P178412
|
FINISHED |
| Object | serine |
—
|
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: serine | Statement: [MAGL, catalyticResidue, serine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalyticResidue Context triple: [MAGL, catalyticResidue, serine]
-
A.
catalystPromoter
Indicates that one entity enhances or facilitates the catalytic activity or effectiveness of another entity.
-
B.
actsOnEnzyme
Indicates that one entity performs an action that affects the activity, function, or state of an enzyme.
-
C.
substrateSpecificity
Indicates that an enzyme or catalyst selectively acts on, binds to, or transforms particular substrate molecules over others.
-
D.
catalyst
Indicates that one entity facilitates or accelerates a process, reaction, or change involving another entity without itself being consumed or fundamentally altered.
-
E.
enzymeType
Indicates the specific class or category of enzyme associated with an entity or reaction.
- 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_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:52 a.m.