Triple
T13169341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Mario All-Stars |
E312934
|
entity |
| Predicate | anniversaryEditionRegionRelease |
P35878
|
FINISHED |
| Object | 2010 in Japan |
—
|
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: 2010 in Japan | Statement: [Super Mario All-Stars, anniversaryEditionRegionRelease, 2010 in Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anniversaryEditionRegionRelease Context triple: [Super Mario All-Stars, anniversaryEditionRegionRelease, 2010 in Japan]
-
A.
anniversaryEditionPublicationYear
Indicates the year in which an anniversary edition of a work was published.
-
B.
overseesAnniversaryEditionsOf
Indicates that one entity has responsibility for supervising, managing, or directing the production or release of anniversary editions of another entity.
-
C.
releaseRegion
chosen
Indicates the geographic or jurisdictional area in which something (such as a product, service, or content) is made available or officially released.
-
D.
expandedEditionYear
Indicates the year in which a work’s expanded or enlarged edition was published or released.
-
E.
firstEditionRegion
Indicates the geographic region in which the first edition of a work was originally published.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:13 p.m.