Triple
T38132864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congo River Rapids |
E952268
|
entity |
| Predicate | hasOnRideRestraints |
P22102
|
FINISHED |
| Object | no seat belts |
—
|
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: no seat belts | Statement: [Congo River Rapids, hasOnRideRestraints, no seat belts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnRideRestraints Context triple: [Congo River Rapids, hasOnRideRestraints, no seat belts]
-
A.
hasBeenSafeSeatFor
Indicates that a political position or constituency has consistently been held securely by a particular party or candidate, with little risk of losing it in elections.
-
B.
hasArrestingGear
Indicates that an entity is equipped with a system or mechanism used to rapidly decelerate and stop another entity, typically during landing or capture.
-
C.
rideRestriction
Indicates that there is a limitation or rule governing whether, how, or under what conditions one entity may ride or be transported by another.
-
D.
restraintType
chosen
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
E.
hasRidingAssociation
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).
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:21 p.m.