Triple
T30786241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 『メタボリズムの未来都市』 |
E783961
|
entity |
| Predicate | 時代背景 |
P43371
|
FINISHED |
| Object | 戦後日本 |
—
|
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: 戦後日本 | Statement: [『メタボリズムの未来都市』, 時代背景, 戦後日本]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 時代背景 Context triple: [『メタボリズムの未来都市』, 時代背景, 戦後日本]
-
A.
historicalBackground
chosen
Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
-
B.
歴史
Indicates a relationship where something pertains to, records, or is involved in the events, development, or study of the past over time.
-
C.
historical era
Indicates the broad historical period or epoch during which an entity, event, or phenomenon took place or is associated.
-
D.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
-
E.
regionBefore1945
Indicates that one region existed or was defined in a particular way prior to the year 1945.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690097c9c81909858e7d8c15474da |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.