Triple
T28025339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of the Navy (Japan) |
E707805
|
entity |
| Predicate | NavyMinisterWasMemberOf |
P163635
|
FINISHED |
| Object | Japanese Cabinet |
—
|
NE NERFINISHED |
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: Japanese Cabinet | Statement: [Ministry of the Navy (Japan), NavyMinisterWasMemberOf, Japanese Cabinet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NavyMinisterWasMemberOf Context triple: [Ministry of the Navy (Japan), NavyMinisterWasMemberOf, Japanese Cabinet]
-
A.
appointedNavyMinister
Indicates that one entity formally selected and installed another entity into the role of Navy Minister.
-
B.
precededInOfficeAsSecretaryOfTheNavyBy
Indicates that one person assumed the role of Secretary of the Navy after another specific person, who held the office immediately before them.
-
C.
succeededByAsSecretaryOfTheNavy
Indicates that one person was followed in the role of Secretary of the Navy by another person.
-
D.
removedAsNavyMinister
Indicates that an individual was dismissed or relieved from the position of Navy Minister.
-
E.
endTimeAsSecretaryOfTheNavy
Indicates the date and time at which an individual’s tenure or service as Secretary of the Navy concludes.
- 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_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. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 8:12 p.m.