Triple
T24815095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuroda Nagamasa |
E620896
|
entity |
| Predicate | stipend |
P78311
|
FINISHED |
| Object | 520000 koku |
—
|
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: 520000 koku | Statement: [Kuroda Nagamasa, stipend, 520000 koku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stipend Context triple: [Kuroda Nagamasa, stipend, 520000 koku]
-
A.
stipendRank
Indicates the relative ordering or level of a stipend assigned to an entity compared to others.
-
B.
approximateStipend
chosen
Indicates an estimated or rough amount of stipend associated with an entity or situation.
-
C.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
D.
receivedEducationGrant
Indicates that an entity has been awarded or obtained an education-related grant from another entity or funding source.
-
E.
awardAmount
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:02 a.m.