Triple
T5984951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sundubu jjigae |
E133203
|
entity |
| Predicate | commonProteinSource |
P20746
|
FINISHED |
| Object | tofu |
—
|
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: tofu | Statement: [sundubu jjigae, commonProteinSource, tofu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonProteinSource Context triple: [sundubu jjigae, commonProteinSource, tofu]
-
A.
proteinContent
Indicates the amount or proportion of protein present in a given entity or substance.
-
B.
commonMeatCut
Indicates that two items are the same or equivalent cut of meat, or that an item belongs to a standard, commonly recognized meat cut category.
-
C.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
D.
foodSources
chosen
Indicates a relationship where one entity serves as a source of food or nourishment for another entity.
-
E.
typicalMilkSource
Indicates that one entity is the usual or primary source from which the other entity obtains milk.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6dcaf08190bac27c7042e65e07 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.