Triple
T1654147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy Ministry of Japan |
E35758
|
entity |
| Predicate | hadMinisterialPosition |
P1827
|
FINISHED |
| Object | Minister of the Navy |
—
|
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 of the Navy | Statement: [Navy Ministry of Japan, hadMinisterialPosition, Minister of the Navy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMinisterialPosition Context triple: [Navy Ministry of Japan, hadMinisterialPosition, Minister of the Navy]
-
A.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
B.
hasMinisterialSeat
Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
-
C.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
D.
hasMinisterialPortfolios
Indicates that a person holds one or more official ministerial roles or portfolios within a government or similar authority.
-
E.
servedAs
chosen
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.