Triple
T31902508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony's Town Square Restaurant |
E814461
|
entity |
| Predicate | hasDiningPlanOption |
P33094
|
FINISHED |
| Object | Disney dining plan (when available) |
—
|
NE NERFINISHED |
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: Disney dining plan (when available) | Statement: [Tony's Town Square Restaurant, hasDiningPlanOption, Disney dining plan (when available)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiningPlanOption Context triple: [Tony's Town Square Restaurant, hasDiningPlanOption, Disney dining plan (when available)]
-
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.
hasDiningOptionType
Indicates that an entity offers or is associated with a specific type or category of dining option (e.g., dine-in, takeout, delivery).
-
D.
hasDiningPolicy
Indicates that an entity enforces or follows a specific set of rules or guidelines related to dining or meal-related activities.
-
E.
hasDiningFeature
Indicates that something possesses a specific characteristic, amenity, or attribute related to dining.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 1, 2026, midnight