Triple
T31271672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 藤田嗣治 |
E797400
|
entity |
| Predicate | 受章国 |
P171528
|
FINISHED |
| Object | フランス |
—
|
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: フランス | Statement: [藤田嗣治, 受章国, フランス]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 受章国 Context triple: [藤田嗣治, 受章国, フランス]
-
A.
施行国
Indicates the country that implements, enforces, or carries out a given law, policy, measure, or action.
-
B.
参列者
Indicates a relationship where an entity attends or is present at a ceremony, event, or formal gathering.
-
C.
孫
Indicates that the second person is the grandchild (specifically grandson) of the first person.
-
D.
別当寺格
Indicates a formal relationship in which a temple holds the status or rank of a “bettō-ji,” serving as an administratively or ritually responsible temple attached to a shrine or institution.
-
E.
Wang Ben
Indicates a relationship or action involving an entity named "Wang Ben," such as authorship, participation, or association, depending on the specific context in which the predicate is used.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:13 p.m.