Triple
T7629919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uke Mochi |
E172733
|
entity |
| Predicate | producesFromBody |
P78209
|
FINISHED |
| Object | food |
—
|
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: food | Statement: [Uke Mochi, producesFromBody, food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producesFromBody Context triple: [Uke Mochi, producesFromBody, food]
-
A.
createsBodyFunction
Indicates that one entity brings about or establishes a bodily function in another entity.
-
B.
servesBody
Indicates that one entity provides service, assistance, or benefit directly to another entity.
-
C.
hasBodyOf
Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
-
D.
publicBodyType
Indicates the classification or category of a public body (such as its organizational or legal type) within a governmental or public-sector context.
-
E.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:56 p.m.