Triple
T36563775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uesugi Kagekatsu |
E901914
|
entity |
| Predicate | reducedStipendAfter |
P104885
|
FINISHED |
| Object | Battle of Sekigahara |
—
|
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: Battle of Sekigahara | Statement: [Uesugi Kagekatsu, reducedStipendAfter, Battle of Sekigahara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedStipendAfter Context triple: [Uesugi Kagekatsu, reducedStipendAfter, Battle of Sekigahara]
-
A.
approximateStipend
Indicates an estimated or rough amount of stipend associated with an entity or situation.
-
B.
penaltyReducedTo
chosen
Indicates that an existing penalty has been lowered or commuted to a lesser penalty or amount.
-
C.
stipendRank
Indicates the relative ordering or level of a stipend assigned to an entity compared to others.
-
D.
subsidizedInterest
Indicates that the interest on a loan or financial obligation is partially or fully paid or reduced by a third party, typically a government or institution, rather than borne entirely by the borrower.
-
E.
schoolMayReduceAmount
Indicates that a school has the authority or ability to decrease a specified amount (such as a fee, payment, or allocation).
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.