Triple
T21685258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 寺内内閣 |
E535212
|
entity |
| Predicate | 第一次世界大戦との関係 |
P112514
|
FINISHED |
| Object | 戦時景気の管理 |
—
|
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: 戦時景気の管理 | Statement: [寺内内閣, 第一次世界大戦との関係, 戦時景気の管理]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 第一次世界大戦との関係 Context triple: [寺内内閣, 第一次世界大戦との関係, 戦時景気の管理]
-
A.
worldWarIPartOf
Indicates that an event or entity is a component, phase, or subset of World War I.
-
B.
関連戦争
chosen
Indicates a relationship where an entity is associated with, connected to, or involved in a particular war or military conflict.
-
C.
worldWar
Indicates a large-scale armed conflict involving multiple nations across different regions of the world, typically encompassing numerous battles, alliances, and theaters of war.
-
D.
preWorldWarIAlignment
Indicates the political or military alliance a party belonged to before the outbreak of World War I.
-
E.
treatsWorldWarsAs
Indicates that one entity regards, interprets, or handles certain events, situations, or concepts in the same way it would treat the World Wars.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ca668481909f53853c7a8ea811 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:44 p.m.