Triple
T20196124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavlovian conditioning |
E493089
|
entity |
| Predicate | classicExample |
P135707
|
FINISHED |
| Object | dog salivation to bell after pairing with food |
—
|
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: dog salivation to bell after pairing with food | Statement: [Pavlovian conditioning, classicExample, dog salivation to bell after pairing with food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classicExample Context triple: [Pavlovian conditioning, classicExample, dog salivation to bell after pairing with food]
-
A.
centralExample
Indicates that one entity serves as the primary or most representative example of another entity or concept.
-
B.
standardExample
Indicates that something is a typical or canonical instance used to illustrate a general case or concept.
-
C.
isCanonicalExampleOf
chosen
Indicates that something serves as a standard or typical instance that exemplifies a concept, category, or pattern.
-
D.
baseExamples
Indicates that something serves as a fundamental or illustrative example for understanding or demonstrating another concept, item, or case.
-
E.
majorExample
Indicates that one entity serves as a primary or most significant example or instance of another entity.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad8b3cc8190aa9c9c79c552002a |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.