Triple
T11002866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebbian learning |
E260043
|
entity |
| Predicate | biologicalBasis |
P68445
|
FINISHED |
| Object | activity-dependent synaptic modification |
—
|
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: activity-dependent synaptic modification | Statement: [Hebbian learning, biologicalBasis, activity-dependent synaptic modification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biologicalBasis Context triple: [Hebbian learning, biologicalBasis, activity-dependent synaptic modification]
-
A.
biologicalCharacteristic
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
B.
biologicalOrigin
Indicates that one entity originates from, is derived from, or is produced by a biological source or organism in relation to another entity.
-
C.
affectsBiologicalProcess
Indicates a relationship where one entity produces a change or influence on a biological process of another entity or system.
-
D.
biologicalRole
chosen
Indicates the functional role or purpose that one biological entity has in relation to another or within a biological process.
-
E.
hasBiologicalComponents
Indicates that an entity is composed of, contains, or is associated with one or more biological parts or substances.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.