Triple
T27871979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronto Morning Wrap |
E704813
|
entity |
| Predicate | isHandheldFood |
P161877
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ronto Morning Wrap, isHandheldFood, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHandheldFood Context triple: [Ronto Morning Wrap, isHandheldFood, true]
-
A.
hasFoodOption
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
B.
eatenWithHands
chosen
Indicates that the action of eating was performed using one's hands rather than utensils.
-
C.
isSnackCategory
Indicates that something belongs to or is classified under a snack-related category.
-
D.
isProcessedFood
Indicates that a food item has been altered from its natural state through industrial or mechanical methods such as refining, adding ingredients, or preserving.
-
E.
isEatenFor
Indicates that one entity is consumed as food for the benefit, nourishment, or use of 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6397cafe081909ab66f1072c4888d |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
Created at: April 27, 2026, 6:25 p.m.