Triple
T3711071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hitsumabushi |
E81410
|
entity |
| Predicate | riceType |
P50956
|
FINISHED |
| Object | steamed white rice |
—
|
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: steamed white rice | Statement: [hitsumabushi, riceType, steamed white rice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riceType Context triple: [hitsumabushi, riceType, steamed white rice]
-
A.
numberOfRiceStalks
Indicates the quantity or count of rice stalks associated with a given entity or context.
-
B.
yieldRelativeToOryza sativa
Indicates the comparative yield performance of an entity relative to that of *Oryza sativa* (cultivated rice).
-
C.
comparisonWithAsianRice
Indicates a relationship in which something is compared or contrasted specifically with Asian rice in terms of some property or characteristic.
-
D.
isInlandVarietyOf
Indicates that one entity is a variety or subtype of another that occurs specifically in inland (non-coastal) areas.
-
E.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
- F. None of above. chosen
Provenance (4 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc584b86c8190ba1a1073da440b07 |
completed | March 8, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:33 p.m.