Triple
T3711099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kishimen noodles |
E81411
|
entity |
| Predicate | commonTopping |
P12771
|
FINISHED |
| Object | green onions |
—
|
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: green onions | Statement: [kishimen noodles, commonTopping, green onions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonTopping Context triple: [kishimen noodles, commonTopping, green onions]
-
A.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
B.
usesIngredient
chosen
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
C.
hasCrustType
Indicates that an entity (such as a pizza or pie) is associated with a specific type or style of crust.
-
D.
doughType
Indicates the specific kind or category of dough used or associated with an item or preparation.
-
E.
ingredientType
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc58617bc8190bb712d1c90394215 |
completed | March 8, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.