Triple
T36477834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Dynamic Theory of Organizational Knowledge Creation |
E898719
|
entity |
| Predicate | introducesProcess |
P107719
|
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: [A Dynamic Theory of Organizational Knowledge Creation, introducesProcess, socialization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesProcess Context triple: [A Dynamic Theory of Organizational Knowledge Creation, introducesProcess, socialization]
-
A.
workIntroduces
chosen
Indicates that a work (such as a document, publication, or creative piece) presents or brings a concept, entity, or topic into use or awareness for the first time.
-
B.
introducesAlgorithm
Indicates that an entity presents or brings a specific algorithm into use, awareness, or discussion.
-
C.
introducesModule
Indicates that one entity presents, initiates, or brings another entity (a module) into use, context, or awareness.
-
D.
typicalProcess
Indicates that the related process is characteristic, usual, or commonly occurring for the given entity or context.
-
E.
definesProcessFor
Indicates that one entity specifies or establishes the process or procedure to be used for 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:10 p.m.