Triple
T21416262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papa Johns |
E528302
|
entity |
| Predicate | offersMobileAppOrdering |
P143884
|
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: [Papa Johns, offersMobileAppOrdering, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersMobileAppOrdering Context triple: [Papa Johns, offersMobileAppOrdering, true]
-
A.
hasMobileOrder
Indicates that an entity has placed or is associated with a mobile-based order.
-
B.
offersTakeout
Indicates that a provider makes its products or services available for customers to pick up and consume off-site.
-
C.
canOrder
Indicates that one entity has the ability or permission to place an order for another entity or item.
-
D.
offersDriveThrough
Indicates that a business provides a drive-through service allowing customers to be served from their vehicles.
-
E.
hasFoodOption
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
- F. None of above. chosen
Provenance (4 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b205d17c8190b9b6b5708658f9be |
completed | April 22, 2026, 11:33 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:46 p.m.