Triple
T33936360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akita Komachi rice |
E870042
|
entity |
| Predicate | polishingDegree |
P72635
|
FINISHED |
| Object | highly polished |
—
|
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: highly polished | Statement: [Akita Komachi rice, polishingDegree, highly polished]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polishingDegree Context triple: [Akita Komachi rice, polishingDegree, highly polished]
-
A.
grainPolishing
chosen
Indicates the process of smoothing or refining the surface of a grain or granular material, typically by abrasion or buffing, to improve its texture, appearance, or performance.
-
B.
sharpeningType
Indicates the method or style by which something is sharpened or made sharper.
-
C.
finishGlossLevel
Indicates that one entity determines or records the final gloss or shininess level achieved on another entity after a finishing process.
-
D.
surfaceQuality
Indicates the condition or characteristics of an entity’s outer surface, such as its smoothness, roughness, or finish.
-
E.
oreGrade
Indicates the quality or concentration of valuable minerals or metals contained within a given quantity of ore.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.