Triple
T12355442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States military tribunal for General Tomoyuki Yamashita |
E294599
|
entity |
| Predicate | defendantNationality |
P29967
|
FINISHED |
| Object | Japanese |
—
|
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: Japanese | Statement: [United States military tribunal for General Tomoyuki Yamashita, defendantNationality, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendantNationality Context triple: [United States military tribunal for General Tomoyuki Yamashita, defendantNationality, Japanese]
-
A.
defendantsNationality
chosen
Indicates that the specified nationality is attributed to the defendants in a legal case.
-
B.
plaintiffNationality
Indicates that a person or entity in the role of plaintiff has a specified national affiliation or citizenship.
-
C.
debtorNationality
Indicates that the specified nationality is the country of citizenship or legal national affiliation of the debtor in the relationship.
-
D.
countryOfProsecution
Indicates the country in which legal prosecution of an entity or case takes place.
-
E.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.