Triple
T12017429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wabi-sabi |
E286060
|
entity |
| Predicate | termComponent |
P14071
|
FINISHED |
| Object | wabi |
—
|
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: wabi | Statement: [wabi-sabi, termComponent, wabi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termComponent Context triple: [wabi-sabi, termComponent, wabi]
-
A.
termDivision
Indicates a relationship where one term is divided by another, expressing a division operation between two quantities or expressions.
-
B.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
C.
designationComponent
Indicates that one entity functions as a component or constituent part of another entity’s designation or formal naming.
-
D.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
E.
component1
chosen
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.