Triple
T4383453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape May Cafe |
E99183
|
entity |
| Predicate | offersSeafoodBoilStyleItems |
P14779
|
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: [Cape May Cafe, offersSeafoodBoilStyleItems, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSeafoodBoilStyleItems Context triple: [Cape May Cafe, offersSeafoodBoilStyleItems, true]
-
A.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
B.
cateringIncludes
Indicates that a catering service or arrangement encompasses or provides the specified item, service, or component as part of its offering.
-
C.
hasCuisineItem
Indicates that a particular cuisine includes, features, or is associated with a specific food item.
-
D.
servingStyle
chosen
Indicates how something (typically food or drink) is presented or offered for consumption or use.
-
E.
offersCuisine
Indicates that one entity provides or serves a particular type or style of cuisine to others.
- 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.