Triple
T9733993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiki Juice Bar |
E236011
|
entity |
| Predicate | servesDietaryOption |
P68068
|
FINISHED |
| Object | dairy-free Dole Whip (subject to availability) |
—
|
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: dairy-free Dole Whip (subject to availability) | Statement: [Tiki Juice Bar, servesDietaryOption, dairy-free Dole Whip (subject to availability)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesDietaryOption Context triple: [Tiki Juice Bar, servesDietaryOption, dairy-free Dole Whip (subject to availability)]
-
A.
dietaryOptions
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
B.
isVegetarian
Indicates that an entity follows a vegetarian diet, avoiding the consumption of meat and possibly other animal products.
-
C.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
D.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
E.
hasFoodOption
chosen
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
- 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.