Triple
T20042129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Educational psychology |
E497446
|
entity |
| Predicate | appliesTheoryFrom |
P7760
|
FINISHED |
| Object | cognitive psychology |
—
|
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: cognitive psychology | Statement: [Educational psychology, appliesTheoryFrom, cognitive psychology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesTheoryFrom Context triple: [Educational psychology, appliesTheoryFrom, cognitive psychology]
-
A.
appliesTheory
chosen
Indicates that an entity uses or implements a particular theory in analyzing, explaining, or addressing something.
-
B.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
-
C.
appliesFrom
Indicates that a rule, condition, or effect begins to be applicable starting from a specific point in time or state.
-
D.
followsTheoryOf
Indicates that one entity adheres to, is based on, or is guided by the theoretical framework or principles established by another entity.
-
E.
appliedFrom
Indicates that an application or request was initiated starting at or originating from a particular source, location, or context.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ec9ae0819097032ff50d6215c2 |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:37 p.m.