Triple
T51563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fumio Kishida |
E1011
|
entity |
| Predicate | officeEnded |
P2941
|
FINISHED |
| Object | Minister for Foreign Affairs of Japan, 2017-08-03 |
—
|
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, 2017-08-03 | Statement: [Fumio Kishida, officeEnded, Minister for Foreign Affairs of Japan, 2017-08-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEnded Context triple: [Fumio Kishida, officeEnded, Minister for Foreign Affairs of Japan, 2017-08-03]
-
A.
concludedBy
Indicates that an event, process, or state is brought to an end or finalized by a specific agent or entity.
-
B.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
C.
officeInvolved
Indicates that a particular office or organizational unit is involved or participates in a specified event, action, or relationship.
-
D.
endEvent
Indicates that one event or process marks the termination or conclusion of another event or process.
-
E.
appointmentBy
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac23f04819080cef9365ed990d4 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24ba5da048190a484963cb5a9bb2b |
completed | Feb. 28, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.