Triple
T13101594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixar Pals Parking Structure |
E310730
|
entity |
| Predicate | hasPaymentPolicy |
P21228
|
FINISHED |
| Object | Disneyland Resort parking rates |
—
|
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: Disneyland Resort parking rates | Statement: [Pixar Pals Parking Structure, hasPaymentPolicy, Disneyland Resort parking rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaymentPolicy Context triple: [Pixar Pals Parking Structure, hasPaymentPolicy, Disneyland Resort parking rates]
-
A.
hasPaymentOption
Indicates that an entity supports or offers a particular method or option for making payments.
-
B.
hasPaymentModel
chosen
Indicates that an entity uses, is associated with, or operates under a particular payment model or pricing scheme.
-
C.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
D.
settlementPolicy
Indicates the rules or arrangements governing how and when obligations, transactions, or disputes between parties are finalized and settled.
-
E.
hasSubmissionPolicy
Indicates that an entity is associated with a specific set of rules or conditions governing how submissions to it must be made.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:04 p.m.