Triple
T13644697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody's Lunch Box |
E326071
|
entity |
| Predicate | hasMealPeriod |
P46097
|
FINISHED |
| Object | breakfast |
—
|
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: breakfast | Statement: [Woody's Lunch Box, hasMealPeriod, breakfast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMealPeriod Context triple: [Woody's Lunch Box, hasMealPeriod, breakfast]
-
A.
hasMealType
Indicates that an entity is associated with a specific category or type of meal (such as breakfast, lunch, or dinner).
-
B.
mealPeriod
chosen
Indicates the time-of-day category (such as breakfast, lunch, or dinner) during which a meal or food-related event occurs.
-
C.
hasWorkPeriod
Indicates that an entity is associated with a specific span of time during which it performs or is engaged in some work or activity.
-
D.
hasStaffedHours
Indicates that specific hours or time periods are assigned during which staff are present and available.
-
E.
hasSpecialMeal
Indicates that an entity provides, is assigned, or is associated with a designated special meal option.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.