Triple
T9734036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal Barbecue |
E236012
|
entity |
| Predicate | kidFriendly |
P17278
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bengal Barbecue, kidFriendly, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kidFriendly Context triple: [Bengal Barbecue, kidFriendly, yes]
-
A.
isFamilyFriendly
chosen
Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
-
B.
children
Indicates that one entity is the offspring or direct descendant of another entity.
-
C.
childrenReceive
Indicates that one or more children are the recipients of something (such as an item, benefit, or message) from another source.
-
D.
childrenFounded
Indicates that the subject’s children established, created, or founded the object entity (such as an organization, institution, or project).
-
E.
childAgency
Indicates a relationship where an organization or unit operates under the authority, oversight, or control of a larger parent agency.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eebcec08190a9d4606fd26f2e19 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.