Triple
T32706324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tenmusu |
E836280
|
entity |
| Predicate | isTypicallyShape |
P133181
|
FINISHED |
| Object | small rice ball |
—
|
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: small rice ball | Statement: [tenmusu, isTypicallyShape, small rice ball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypicallyShape Context triple: [tenmusu, isTypicallyShape, small rice ball]
-
A.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
-
B.
hasDistinctiveShape
Indicates that an entity possesses a shape or form that is notably different from others and can be easily recognized or distinguished.
-
C.
hasTypicalAppearance
chosen
Indicates that an entity exhibits the standard or commonly expected visual form or look associated with its kind.
-
D.
hasBillShape
Indicates that one entity has a bill whose shape matches the specified form or category.
-
E.
hasPieceShape
Indicates that one entity has, exhibits, or is characterized by a particular shape or geometric form.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c851d2488190a93924bca6b167d1 |
completed | May 3, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:10 a.m.