Triple
T3537740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart 64 |
E74807
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object |
Mario Raceway
Mario Raceway is a popular, Mario-themed circuit course featured in the racing video game Mario Kart 64.
|
E367882
|
NE FINISHED |
How this triple was built (4 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: Mario Raceway | Statement: [Mario Kart 64, notableTrack, Mario Raceway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Raceway Context triple: [Mario Kart 64, notableTrack, Mario Raceway]
-
A.
Karting Academy
Karting Academy is a go-kart racing attraction at Ferrari World Abu Dhabi where visitors can experience high-speed karting on a professionally designed track.
-
B.
Lotus test track
Lotus test track is the private automotive proving ground used by Lotus Cars for developing and testing its sports cars and racing vehicles.
-
C.
RC Racer
RC Racer is a high-speed, U-shaped shuttle roller coaster themed after the remote-control car from Pixar's Toy Story films.
-
D.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
E.
Atco Raceway
Atco Raceway is a historic drag racing track in Atco, New Jersey, known for hosting NHRA-sanctioned events and regional motorsports competitions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mario Raceway Triple: [Mario Kart 64, notableTrack, Mario Raceway]
Generated description
Mario Raceway is a popular, Mario-themed circuit course featured in the racing video game Mario Kart 64.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mario Raceway Target entity description: Mario Raceway is a popular, Mario-themed circuit course featured in the racing video game Mario Kart 64.
-
A.
Karting Academy
Karting Academy is a go-kart racing attraction at Ferrari World Abu Dhabi where visitors can experience high-speed karting on a professionally designed track.
-
B.
Lotus test track
Lotus test track is the private automotive proving ground used by Lotus Cars for developing and testing its sports cars and racing vehicles.
-
C.
RC Racer
RC Racer is a high-speed, U-shaped shuttle roller coaster themed after the remote-control car from Pixar's Toy Story films.
-
D.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
E.
Atco Raceway
Atco Raceway is a historic drag racing track in Atco, New Jersey, known for hosting NHRA-sanctioned events and regional motorsports competitions.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69b38c5cfb608190b451be14246d5481 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38ce0e1688190a7ee3d079fb83f3d |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.