Triple
T27809964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café Orleans |
E702490
|
entity |
| Predicate | takesReservationsVia |
P46098
|
FINISHED |
| Object | Disneyland app |
—
|
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: Disneyland app | Statement: [Café Orleans, takesReservationsVia, Disneyland app]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesReservationsVia Context triple: [Café Orleans, takesReservationsVia, Disneyland app]
-
A.
allowsReservationsOn
Indicates that one entity permits making reservations or bookings for another entity.
-
B.
allowsReservation
Indicates that one entity permits another entity to make or hold a reservation for its use or access.
-
C.
hasReservationSystem
Indicates that an entity uses or is equipped with a system for managing reservations or bookings.
-
D.
acceptsAdvanceDiningReservations
chosen
Indicates that an entity allows customers to make dining reservations in advance.
-
E.
isReservation
Indicates that one entity functions as a reservation (such as a booking or held allocation) associated with another entity.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6383da0e08190a4e394aba4b49348 |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:41 p.m.