Triple
T36477638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SECI model of knowledge creation |
E898715
|
entity |
| Predicate | modeOfKnowledgeConversion |
P176751
|
FINISHED |
| Object | socialization |
—
|
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: socialization | Statement: [SECI model of knowledge creation, modeOfKnowledgeConversion, socialization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfKnowledgeConversion Context triple: [SECI model of knowledge creation, modeOfKnowledgeConversion, socialization]
-
A.
hasModeOfKnowing
Indicates a relationship where one entity possesses or employs a particular way, method, or mode of acquiring or holding knowledge about something.
-
B.
knowledgeTransferredVia
Indicates that knowledge is passed from one entity to another through a specified medium, method, or channel.
-
C.
typeOfEpistemology
Indicates that one epistemological position, theory, or approach is classified as a specific kind or category within the broader domain of epistemology.
-
D.
conversionMode
chosen
Indicates the specific method or setting by which one form, unit, or representation is transformed into another.
-
E.
epistemologicalFocus
Indicates that something is primarily concerned with questions about knowledge, its nature, sources, justification, or limits.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.