Triple
T4206790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coq au vin |
E93800
|
entity |
| Predicate | commonlyGarnishedWith |
P12771
|
FINISHED |
| Object | chopped parsley |
—
|
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: chopped parsley | Statement: [Coq au vin, commonlyGarnishedWith, chopped parsley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyGarnishedWith Context triple: [Coq au vin, commonlyGarnishedWith, chopped parsley]
-
A.
usesIngredient
chosen
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
B.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
C.
sauceType
Indicates the specific kind or category of sauce associated with an item or dish.
-
D.
ingredientType
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
-
E.
culinaryUse
Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:03 p.m.