Triple
T3781683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boma – Flavors of Africa |
E85431
|
entity |
| Predicate | offersKidFriendlyOptions |
P24380
|
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: [Boma – Flavors of Africa, offersKidFriendlyOptions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersKidFriendlyOptions Context triple: [Boma – Flavors of Africa, offersKidFriendlyOptions, true]
-
A.
hasKidsMenu
chosen
Indicates that an establishment offers a menu specifically designed for children.
-
B.
hasEntertainmentOptions
Indicates that an entity provides or includes one or more forms of entertainment or leisure activities as options.
-
C.
isFamilyFriendly
Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
-
D.
dietaryOptions
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.