Triple
T3226826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 淵田 美津雄 |
E67642
|
entity |
| Predicate | 関係する国際的出来事 |
P46279
|
FINISHED |
| Object | 日米開戦 |
—
|
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: 日米開戦 | Statement: [淵田 美津雄, 関係する国際的出来事, 日米開戦]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関係する国際的出来事 Context triple: [淵田 美津雄, 関係する国際的出来事, 日米開戦]
-
A.
hasInternationalEvent
Indicates that an entity hosts, organizes, or is associated with an event involving participants or significance across multiple countries.
-
B.
involvedInternationalOrganization
Indicates that an entity participates in, is affiliated with, or plays a role within an international organization.
-
C.
internationalConcern
Indicates that an issue, event, or situation is regarded as significant or problematic by multiple countries or the international community as a whole.
-
D.
maintainsTransnationalTies
Indicates that an entity sustains ongoing social, economic, political, or cultural connections that span across national borders.
-
E.
involvedCountry
Indicates that a country participates in, is associated with, or is otherwise implicated in the referenced event, activity, or situation.
- F. None of above. chosen
Provenance (4 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:08 p.m.