Triple
T10454464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Cellier Steakhouse |
E246514
|
entity |
| Predicate | parkReservationRequired |
P19288
|
FINISHED |
| Object | yes (subject to Walt Disney World policies) |
—
|
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: yes (subject to Walt Disney World policies) | Statement: [Le Cellier Steakhouse, parkReservationRequired, yes (subject to Walt Disney World policies)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkReservationRequired Context triple: [Le Cellier Steakhouse, parkReservationRequired, yes (subject to Walt Disney World policies)]
-
A.
bookingRequirement
chosen
Indicates that a particular condition, rule, or prerequisite must be satisfied in order to make or confirm a booking.
-
B.
agingRequirementForRiserva
Indicates that a wine must undergo a specified minimum aging period to qualify for the "Riserva" designation.
-
C.
hasParkOrReservation
Indicates that an entity possesses, includes, or is associated with a park or a designated reservation area.
-
D.
requiresReservationInPeakSeason
Indicates that the subject can only be accessed or used during peak season if a reservation has been made in advance.
-
E.
haveReservation
Indicates that an entity holds or has made a reservation for a service, event, or resource.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe47fee48190b38ec0466ff0165a |
completed | April 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:17 p.m.