Triple
T33050932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karamu feast |
E845717
|
entity |
| Predicate | typeOfFoodEvent |
P9865
|
FINISHED |
| Object | feast |
—
|
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: feast | Statement: [Karamu feast, typeOfFoodEvent, feast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFoodEvent Context triple: [Karamu feast, typeOfFoodEvent, feast]
-
A.
typeOfFoodFestival
Indicates the specific kind or category of food festival associated with an event or entity.
-
B.
feastType
chosen
Indicates the specific kind or category of feast associated with an event or occasion.
-
C.
foodTypeOffered
Indicates that one entity offers or serves a particular type or category of food.
-
D.
evokesMealType
Indicates that one entity (such as a cue, context, or item) brings to mind or suggests a particular type of meal (e.g., breakfast, lunch, dinner) associated with it.
-
E.
feastOf
Indicates that one entity is the religious or ceremonial feast day associated with another entity (such as a person, event, or deity).
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0091ad8b8c8190b0f00a3358e59bc1 |
completed | May 10, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_6a008f2813ec81909a54c2dfa5c75dc7 |
completed | May 10, 2026, 1:59 p.m. |
Created at: May 1, 2026, 1:24 a.m.