Triple
T6337690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambassador of Japan to China |
E142531
|
entity |
| Predicate | hasCounterpartRole |
P6587
|
FINISHED |
| Object | Chinese Ambassador to 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: Chinese Ambassador to Japan | Statement: [Ambassador of Japan to China, hasCounterpartRole, Chinese Ambassador to Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCounterpartRole Context triple: [Ambassador of Japan to China, hasCounterpartRole, Chinese Ambassador to Japan]
-
A.
hasCounterpart
chosen
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
B.
isOppositionCounterpartOf
Indicates a relationship where one entity serves as the opposing or counterpart force, side, or position to another within a conflict, competition, or contrast.
-
C.
counterpartEnglishName
Indicates that an entity has a corresponding counterpart whose name is given in English.
-
D.
counterpartService
Indicates that one service functions as the corresponding or matching service to another within a defined relationship or context.
-
E.
hasExecutiveCounterpart
Indicates that one entity serves as the executive-level counterpart or equivalent to another entity within an organizational or governance structure.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.