Triple
T15384509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wario Stadium |
E367883
|
entity |
| Predicate | hasOffRoadSections |
P118549
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Wario Stadium, hasOffRoadSections, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOffRoadSections Context triple: [Wario Stadium, hasOffRoadSections, yes]
-
A.
hasScenicSections
Indicates that a route, path, or area contains segments that are visually attractive or offer notable scenic views.
-
B.
rangeRoad
Indicates that a road or route extends across or through a specified geographic range or area.
-
C.
hasScenicPullouts
Indicates that a route or roadway includes designated scenic pullout areas where travelers can stop to view the surroundings.
-
D.
terrainCapability
Indicates the types of terrain or ground conditions in which an entity can effectively operate or function.
-
E.
hasTowpath
Indicates that a waterway or canal is accompanied by a path running alongside it, typically used for towing boats.
- F. None of above. chosen
Provenance (4 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7397188190bde42b897ab4b5b4 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:19 a.m.