Triple
T3558250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donkey Kong |
E75272
|
entity |
| Predicate | platformOfDebut |
P17946
|
FINISHED |
| Object | arcade |
—
|
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: arcade | Statement: [Donkey Kong, platformOfDebut, arcade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformOfDebut Context triple: [Donkey Kong, platformOfDebut, arcade]
-
A.
firstDeployedIn
Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
-
B.
firstReleasePlatform
chosen
Indicates the platform on which something (such as a product, work, or media) was first released.
-
C.
firstDeployedFor
Indicates that an entity was initially deployed or put into operational use specifically for another entity (such as a project, mission, or organization).
-
D.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
-
E.
originallyReleasedOn
Indicates the date or platform on which something (such as a work, product, or media item) was first made publicly available.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc086e6688190b90ae356e18b953e |
completed | March 8, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.