Triple
T7629931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uke Mochi |
E172733
|
entity |
| Predicate | fromGenitals |
P78211
|
FINISHED |
| Object | wheat |
—
|
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: wheat | Statement: [Uke Mochi, fromGenitals, wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fromGenitals Context triple: [Uke Mochi, fromGenitals, wheat]
-
A.
genitalsProduced
Indicates that one entity has produced or generated the genitals of another entity.
-
B.
coneSex
Indicates a sexual or mating relationship involving a cone-shaped structure or entity.
-
C.
sexes
Indicates that one entity engages in sexual activity with another entity.
-
D.
reproductiveSystem
Indicates a relationship where one entity is the reproductive system of another, responsible for producing offspring or reproductive cells.
-
E.
genderReversalOf
Indicates that one entity is a counterpart of another with the same role or characteristics but with the opposite gender.
- 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.