Triple
T3537747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart 64 |
E74807
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Rainbow Road |
E114482
|
NE 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: Rainbow Road | Statement: [Mario Kart 64, notableTrack, Rainbow Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainbow Road Context triple: [Mario Kart 64, notableTrack, Rainbow Road]
-
A.
Rainbow Road
chosen
Rainbow Road is an iconic, brightly colored, space-set racetrack from the Mario Kart series known for its challenging layout and lack of guardrails.
-
B.
Flamingo Road
Flamingo Road is a 1949 film noir drama in which Sydney Greenstreet plays a powerful and corrupt Southern political boss.
-
C.
Rainbow Street
Rainbow Street is a popular historic and cultural thoroughfare in Amman known for its cafes, shops, and vibrant nightlife.
-
D.
Rainbow Trail
Rainbow Trail is a scenic hiking path near Taylor Creek in the Lake Tahoe area, known for its forested setting, creek views, and opportunities for wildlife observation.
-
E.
Zig Zag Road
Zig Zag Road is a steep, winding hill road on Box Hill in Surrey, England, famed for its scenic views and use in major cycling events such as the London 2012 Olympic road race.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc928248190b851f8280d58cfcf |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd4d5f4819095c962f01fc6f7e8 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.