Triple
T3584873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirofumi Nakasone |
E75885
|
entity |
| Predicate | hasCabinetPost |
P30688
|
FINISHED |
| Object | Minister for Foreign Affairs of 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: Minister for Foreign Affairs of Japan | Statement: [Hirofumi Nakasone, hasCabinetPost, Minister for Foreign Affairs of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCabinetPost Context triple: [Hirofumi Nakasone, hasCabinetPost, Minister for Foreign Affairs of Japan]
-
A.
hasCabinet
Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
-
B.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
C.
cabinetOf
Indicates that one entity serves as the cabinet or governing body associated with another entity, typically a state, government, or leader.
-
D.
isInCabinet
chosen
Indicates that one entity serves as a member of the governing cabinet associated with another entity (such as a government or administration).
-
E.
hasLeaderAndCabinetModel
Indicates that an entity uses a governance structure characterized by a leader (such as a president or prime minister) and an associated cabinet as the primary executive model.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc135ee3481908ef8dc41af632710 |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.