Triple
T10602439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soar cognitive architecture |
E275783
|
entity |
| Predicate | supportsLearningMechanism |
P94876
|
FINISHED |
| Object | chunking |
—
|
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: chunking | Statement: [Soar cognitive architecture, supportsLearningMechanism, chunking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLearningMechanism Context triple: [Soar cognitive architecture, supportsLearningMechanism, chunking]
-
A.
structureLearning
Indicates a process in which an agent infers or constructs the underlying structure or dependency relationships within a set of variables, data, or a model.
-
B.
teachingSupportedBy
Indicates that a teaching activity is enabled, facilitated, or enhanced by support from another entity (such as resources, tools, services, or personnel).
-
C.
usesLearningPlatform
Indicates that an entity makes use of a particular learning platform for educational or training purposes.
-
D.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
E.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4992248190b640d743ccf02c82 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:31 p.m.