Triple
T23330608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amygdala |
E591429
|
entity |
| Predicate | showsPlasticityIn |
P145641
|
FINISHED |
| Object | fear learning |
—
|
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: fear learning | Statement: [Amygdala, showsPlasticityIn, fear learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsPlasticityIn Context triple: [Amygdala, showsPlasticityIn, fear learning]
-
A.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
B.
showsDevelopmentOf
Indicates that one entity presents, illustrates, or makes evident the growth, progression, or evolution of another entity over time.
-
C.
showedInExperiments
chosen
Indicates that something was demonstrated or observed to occur within the context of experiments.
-
D.
demonstratedPhenomenon
Indicates that an entity has shown, exhibited, or provided evidence for the occurrence of a particular phenomenon.
-
E.
showsSignOf
Indicates that one entity exhibits evidence, symptoms, or characteristics suggesting the presence or occurrence of another entity, condition, or state.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197ece360819099da8443dd86a355 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:15 p.m.