Triple
T5675607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metabolism (architecture) |
E125077
|
entity |
| Predicate | proposedSolutionFor |
P65108
|
FINISHED |
| Object | rapid urbanization in postwar Japan |
—
|
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: rapid urbanization in postwar Japan | Statement: [Metabolism (architecture), proposedSolutionFor, rapid urbanization in postwar Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedSolutionFor Context triple: [Metabolism (architecture), proposedSolutionFor, rapid urbanization in postwar Japan]
-
A.
providesSolutionFor
chosen
Indicates that one entity offers or supplies a remedy, answer, or resolution to a problem, need, or issue associated with another entity.
-
B.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
C.
resolutionIdea
Indicates a proposed method, plan, or approach intended to resolve or address a particular issue, conflict, or problem.
-
D.
proposesSystem
Indicates that one entity formally suggests or puts forward a particular system for consideration, adoption, or implementation by another entity.
-
E.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.