Triple
T3558444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart: Double Dash!! |
E75275
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object |
Baby Park
Baby Park is a chaotic, oval-shaped racetrack in the Mario Kart series known for its short laps and intense item-filled races.
|
E370320
|
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: Baby Park | Statement: [Mario Kart: Double Dash!!, includesTrack, Baby Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Park Context triple: [Mario Kart: Double Dash!!, includesTrack, Baby Park]
-
A.
Baby Cham
Baby Cham is a Jamaican dancehall and reggae artist known for hits like "Ghetto Story" and his influential role in early-2000s dancehall music.
-
B.
Baby U
Baby U is an alias of U-God, the American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
C.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
D.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
E.
Baby Jay
Baby Jay is the smaller, childlike costumed bird that serves as one of the official mascots for the University of Kansas Jayhawks.
- 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: Baby Park Triple: [Mario Kart: Double Dash!!, includesTrack, Baby Park]
Generated description
Baby Park is a chaotic, oval-shaped racetrack in the Mario Kart series known for its short laps and intense item-filled races.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baby Park Target entity description: Baby Park is a chaotic, oval-shaped racetrack in the Mario Kart series known for its short laps and intense item-filled races.
-
A.
Baby Cham
Baby Cham is a Jamaican dancehall and reggae artist known for hits like "Ghetto Story" and his influential role in early-2000s dancehall music.
-
B.
Baby U
Baby U is an alias of U-God, the American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
C.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
D.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
E.
Baby Jay
Baby Jay is the smaller, childlike costumed bird that serves as one of the official mascots for the University of Kansas Jayhawks.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0881d50819092332491b9527c9d |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb9983f48190bda2749d93c74a8d |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bcae84a48190b085f253773cd14f |
completed | March 13, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f90df47c81908855021f68ca7ec8 |
completed | March 13, 2026, 11:46 a.m. |
Created at: March 8, 2026, 3:20 p.m.