Triple
T3558459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart: Double Dash!! |
E75275
|
entity |
| Predicate | includesBattleCourse |
P47597
|
FINISHED |
| Object |
Cookie Land
Cookie Land is a whimsical, cookie-themed battle arena featured in the Mario Kart: Double Dash!! video game.
|
E370331
|
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: Cookie Land | Statement: [Mario Kart: Double Dash!!, includesBattleCourse, Cookie Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cookie Land Context triple: [Mario Kart: Double Dash!!, includesBattleCourse, Cookie Land]
-
A.
the Candy Kingdom
The Candy Kingdom is a whimsical, candy-themed monarchy in the animated series "Adventure Time," ruled by Princess Bubblegum and inhabited by sentient sweets.
-
B.
Sky Land
Sky Land is a high-altitude, cloud-filled world in Super Mario Bros. 3 known for its vertical level design and airborne challenges.
-
C.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
D.
Kid Crumbs
Kid Crumbs is a hip-hop artist known for his guest appearance on the track "Organix."
-
E.
Toyland
Toyland is the colorful, whimsical fantasy world that serves as the primary setting for Enid Blyton’s Noddy stories, inhabited by living toys and playful characters.
- 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: Cookie Land Triple: [Mario Kart: Double Dash!!, includesBattleCourse, Cookie Land]
Generated description
Cookie Land is a whimsical, cookie-themed battle arena featured in the Mario Kart: Double Dash!! video game.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cookie Land Target entity description: Cookie Land is a whimsical, cookie-themed battle arena featured in the Mario Kart: Double Dash!! video game.
-
A.
the Candy Kingdom
The Candy Kingdom is a whimsical, candy-themed monarchy in the animated series "Adventure Time," ruled by Princess Bubblegum and inhabited by sentient sweets.
-
B.
Sky Land
Sky Land is a high-altitude, cloud-filled world in Super Mario Bros. 3 known for its vertical level design and airborne challenges.
-
C.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
D.
Kid Crumbs
Kid Crumbs is a hip-hop artist known for his guest appearance on the track "Organix."
-
E.
Toyland
Toyland is the colorful, whimsical fantasy world that serves as the primary setting for Enid Blyton’s Noddy stories, inhabited by living toys and playful characters.
- 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.