Triple
T12722946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akita Kanto Festival |
E304029
|
entity |
| Predicate | kantoSizeCategory |
P62521
|
FINISHED |
| Object | ozasa kanto |
—
|
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: ozasa kanto | Statement: [Akita Kanto Festival, kantoSizeCategory, ozasa kanto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kantoSizeCategory Context triple: [Akita Kanto Festival, kantoSizeCategory, ozasa kanto]
-
A.
sizeCategory
chosen
Indicates the relative size classification assigned to an entity compared to others (e.g., small, medium, large).
-
B.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
-
C.
sizeDescription
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
-
D.
relativeSizeInJapan
Indicates how the size of one entity compares to another specifically within the context of Japan.
-
E.
sizeDefinedBy
Indicates that the size or magnitude of one entity is determined, constrained, or specified by another entity.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.