Triple
T20186528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Coaster |
E492874
|
entity |
| Predicate | hasTargetRiders |
P104868
|
FINISHED |
| Object | children |
—
|
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: children | Statement: [Junior Coaster, hasTargetRiders, children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetRiders Context triple: [Junior Coaster, hasTargetRiders, children]
-
A.
numberOfRiders
Indicates the total count of riders associated with a given entity or event.
-
B.
hasOwnerRider
Indicates that an entity (such as an animal or vehicle) has a specific person who both owns it and rides or uses it.
-
C.
isRiddenBy
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
-
D.
hasRidingAssociation
chosen
Indicates an association where one entity is related to another through the act or context of riding (e.g., serving as rider, mount, or riding partner).
-
E.
numberOfRidersPerVehicle
Indicates the quantity of riders associated with each individual vehicle in the relationship.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad143c48190b9d52c331e8101d6 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.