Triple
T15535578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilt-a-Kart |
E370330
|
entity |
| Predicate | supportsMode |
P203
|
FINISHED |
| Object | Bob-omb Blast |
E1162449
|
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: Bob-omb Blast | Statement: [Tilt-a-Kart, supportsMode, Bob-omb Blast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob-omb Blast Context triple: [Tilt-a-Kart, supportsMode, Bob-omb Blast]
-
A.
Bob-omb Blast
chosen
Bob-omb Blast is a battle mode in the Mario Kart series where players compete by attacking each other exclusively with Bob-ombs to pop opponents’ balloons.
-
B.
Goombungee
Goombungee is a small rural town in Queensland, Australia, known for its agricultural community and location within the Toowoomba region.
-
C.
Baby Bowser
Baby Bowser is the infant version of Bowser in the Mario franchise, often appearing as a primary antagonist in games like the Yoshi’s Island series.
-
D.
Toys for Bob
Toys for Bob is an American video game developer best known for creating the Skylanders series and working on remakes like the Spyro Reignited Trilogy.
-
E.
Humunga Kowabunga
Humunga Kowabunga is a high-speed, steep-drop water slide attraction at Disney’s Typhoon Lagoon water park.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4556ad008190a411ccd3ef0d1e89 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:06 a.m.