Triple
T33960393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crocktail Creek lazy river |
E870695
|
entity |
| Predicate | hasRideStyle |
P114806
|
FINISHED |
| Object | relaxing |
—
|
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: relaxing | Statement: [Crocktail Creek lazy river, hasRideStyle, relaxing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRideStyle Context triple: [Crocktail Creek lazy river, hasRideStyle, relaxing]
-
A.
rideStyle
chosen
Indicates the manner or characteristic way in which an entity rides or is ridden (e.g., in terms of technique, comfort, or behavior).
-
B.
hasTrainStyle
Indicates that one entity (typically a train or rail service) is characterized by or associated with a particular style, type, or configuration of train.
-
C.
hasRideDynamic
Indicates that one entity exhibits or is associated with a particular ride behavior or dynamic in relation to another entity.
-
D.
hasRideEnvironment
Indicates that an entity is associated with, or takes place within, a particular ride-related environment or setting.
-
E.
hasParkStyle
Indicates that an entity possesses or is characterized by a particular style or type of park.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 1, 2026, 1:49 a.m.