Triple
T26293518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Party 10 |
E661345
|
entity |
| Predicate | numberOfMinigames |
P160786
|
FINISHED |
| Object | over 70 |
—
|
LITERAL 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: over 70 | Statement: [Mario Party 10, numberOfMinigames, over 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMinigames Context triple: [Mario Party 10, numberOfMinigames, over 70]
-
A.
minigamesCount
chosen
Indicates the number of minigames associated with or contained within a given entity or context.
-
B.
minigameCountApprox
Indicates that the relationship expresses an approximate or estimated number of minigames associated with an entity.
-
C.
containsMinigame
Indicates that one entity includes or embeds a smaller, self-contained game within it.
-
D.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
E.
minigameType
Indicates the specific category or kind of minigame associated with an entity or event.
- F. None of above.
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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 26, 2026, 10:10 p.m.