Triple
T9893206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akutagawa Prize |
E181504
|
entity |
| Predicate | typicalPrizeIncludes |
P486
|
FINISHED |
| Object | monetary award |
—
|
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: monetary award | Statement: [Akutagawa Prize, typicalPrizeIncludes, monetary award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPrizeIncludes Context triple: [Akutagawa Prize, typicalPrizeIncludes, monetary award]
-
A.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
B.
typicalBilletsInclude
Indicates that certain items or roles are commonly or normally included within a given set of billets.
-
C.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
D.
typicalAwardComponents
chosen
Indicates the standard elements or parts that commonly make up a particular award.
-
E.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb48271d48190b718c7f6b2fe315b |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.