Triple
T10831192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bar Riva |
E255621
|
entity |
| Predicate | diningPlanEligibility |
P33094
|
FINISHED |
| Object | not on Disney Dining Plan (historically, subject to change) |
—
|
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: not on Disney Dining Plan (historically, subject to change) | Statement: [Bar Riva, diningPlanEligibility, not on Disney Dining Plan (historically, subject to change)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diningPlanEligibility Context triple: [Bar Riva, diningPlanEligibility, not on Disney Dining Plan (historically, subject to change)]
-
A.
diningPlanEligible
chosen
Indicates that an entity qualifies for or is allowed to participate in a specified dining plan.
-
B.
diningPlanParticipation
Indicates that an entity is enrolled in or makes use of a specified dining plan.
-
C.
diningPlanCategory
Indicates the classification or type of dining plan associated with an entity, such as a person, reservation, or accommodation.
-
D.
hasDiningPolicy
Indicates that an entity enforces or follows a specific set of rules or guidelines related to dining or meal-related activities.
-
E.
isDiningDestination
Indicates that a place serves as a destination where people go specifically to eat meals or dine.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d744222288819093258b452569acab |
completed | April 9, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.