Triple
T15069452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donkey Kong Country: Tropical Freeze |
E379836
|
entity |
| Predicate | releaseDateWiiUNorthAmerica |
P117197
|
FINISHED |
| Object | 2014-02-21 |
—
|
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: 2014-02-21 | Statement: [Donkey Kong Country: Tropical Freeze, releaseDateWiiUNorthAmerica, 2014-02-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: releaseDateWiiUNorthAmerica Context triple: [Donkey Kong Country: Tropical Freeze, releaseDateWiiUNorthAmerica, 2014-02-21]
-
A.
releaseDateNorthAmerica
Indicates the date on which something is officially released or made available in North America.
-
B.
releaseDateJapan
Indicates the date on which something is officially released or made available in Japan.
-
C.
releaseDateUS
Indicates the date on which something is officially released or made available in the United States.
-
D.
releaseDateTaiwan
Indicates the date on which something (such as a product, film, or media) was officially released in Taiwan.
-
E.
releaseDateCanada
Indicates the date on which something (such as a product, media, or event) is officially released or made available in Canada.
- F. None of above. chosen
Provenance (4 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:02 a.m.