Triple
T3163458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | aloo paratha |
E66153
|
entity |
| Predicate | mealTime |
P19941
|
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: [aloo paratha, mealTime, breakfast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mealTime Context triple: [aloo paratha, mealTime, breakfast]
-
A.
eveningMeal
Indicates the relationship in which an entity consumes or participates in a meal that takes place in the evening.
-
B.
servedDuring
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
-
C.
hasMealType
chosen
Indicates that an entity is associated with a specific category or type of meal (such as breakfast, lunch, or dinner).
-
D.
typicalMealStructure
Indicates the usual sequence and composition of courses or components that make up a standard meal.
-
E.
holidayFood
Indicates that something is a type of food traditionally associated with or consumed during a holiday or festive occasion.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61a4b8481908897a8d39d94c2f4 |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.