Triple
T3588789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay Beach Amusement Park |
E75974
|
entity |
| Predicate | hasPricingModel |
P21228
|
FINISHED |
| Object | low-cost tickets |
—
|
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: low-cost tickets | Statement: [Bay Beach Amusement Park, hasPricingModel, low-cost tickets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPricingModel Context triple: [Bay Beach Amusement Park, hasPricingModel, low-cost tickets]
-
A.
offersPricingModel
Indicates that one entity provides or makes available a specific pricing model to another entity or for a particular offering.
-
B.
isValuePriced
Indicates that something is offered at a relatively low or favorable price compared to typical or premium alternatives.
-
C.
hasPriceUnit
Indicates that a price value is expressed in a specific unit of currency or measurement.
-
D.
hasPaymentModel
chosen
Indicates that an entity uses, is associated with, or operates under a particular payment model or pricing scheme.
-
E.
hasTradingModel
Indicates that one entity uses, is governed by, or is associated with a particular trading model.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13b2970819084181425b01f9595 |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.