Triple
T4117146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Ronde |
E90319
|
entity |
| Predicate | hasRollerCoasterCount |
P23947
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [La Ronde, hasRollerCoasterCount, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRollerCoasterCount Context triple: [La Ronde, hasRollerCoasterCount, high]
-
A.
hasRollerCoaster
Indicates that one entity possesses, contains, or features a roller coaster as part of it.
-
B.
numberOfRollerCoasters
chosen
Indicates the quantity of roller coasters associated with a given entity.
-
C.
hasThrillRides
Indicates that an entity offers or includes thrill rides as part of its features or attractions.
-
D.
numberOfAttractions
Indicates the total count of attractions associated with a given entity or context.
-
E.
hasSpinnerRide
Indicates that an entity offers, includes, or is associated with a spinner-style ride attraction.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.