Triple
T13148790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolate Island |
E312406
|
entity |
| Predicate | gameReleaseYearNorthAmerica |
P53695
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Chocolate Island, gameReleaseYearNorthAmerica, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameReleaseYearNorthAmerica Context triple: [Chocolate Island, gameReleaseYearNorthAmerica, 1991]
-
A.
releaseDateNorthAmerica
Indicates the date on which something is officially released or made available in North America.
-
B.
releaseDateUS
Indicates the date on which something is officially released or made available in the United States.
-
C.
modelYearLaunchForNorthAmerica
Indicates the year a model was first launched specifically for the North American market.
-
D.
videoGameReleaseYear
chosen
Indicates the calendar year in which a particular video game was released.
-
E.
releaseDateOnPlatform
Indicates the date on which a particular item (e.g., a product, game, or media) becomes available on a specific platform.
- 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_69d806aabde48190899e13e41659cae5 |
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_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:11 p.m.