Triple
T4383424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape May Cafe |
E99183
|
entity |
| Predicate | servesMealType |
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: [Cape May Cafe, servesMealType, breakfast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesMealType Context triple: [Cape May Cafe, servesMealType, breakfast]
-
A.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
B.
servesDish
Indicates that one entity prepares and presents a specific dish as food for 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.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
E.
servesMostly
Indicates that one entity primarily functions to serve, support, or cater to another entity, more than to any other.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35262649c8190a724c9835cb7ece6 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.