Triple
T28025378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rikugun-shō |
E707806
|
entity |
| Predicate | ArmyMinisterWas |
P33495
|
FINISHED |
| Object | member of the Cabinet 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: member of the Cabinet of Japan | Statement: [Rikugun-shō, ArmyMinisterWas, member of the Cabinet of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArmyMinisterWas Context triple: [Rikugun-shō, ArmyMinisterWas, member of the Cabinet of Japan]
-
A.
warSecretary
chosen
Indicates that one entity serves as the war secretary (or secretary of war/defense) of another entity, typically a government or state.
-
B.
appointedNavyMinister
Indicates that one entity formally selected and installed another entity into the role of Navy Minister.
-
C.
endTimeOfPositionHeld: Minister of War
Indicates the date or time at which an individual's tenure in the position of Minister of War concludes.
-
D.
chiefOfGeneralStaff
Indicates that a person holds the position of Chief of the General Staff in relation to a specific military organization or armed forces.
-
E.
chiefOfArmyStaff
Indicates the role or position of a person serving as the head or top commander of an army.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63c6d6a48819096c6076323dc45a6 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:12 p.m.