Triple
T21731631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riptide Racer |
E536419
|
entity |
| Predicate | hasEndSection |
P38695
|
FINISHED |
| Object | common splashdown pool or runout |
—
|
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: common splashdown pool or runout | Statement: [Riptide Racer, hasEndSection, common splashdown pool or runout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndSection Context triple: [Riptide Racer, hasEndSection, common splashdown pool or runout]
-
A.
hasEnd
chosen
Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
-
B.
hasClosingSectionCharacter
Indicates that something includes a specific character used to mark the end of a section.
-
C.
hasRemainingSections
Indicates that an entity still has one or more sections that are not yet completed, processed, or consumed.
-
D.
hasSectionOpening
Indicates that one entity serves as the opening or introductory section of another, typically larger, entity.
-
E.
hasSectionOn
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0713c48190a38b3963cb3cbaf0 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.