Triple
T15488993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donkey Kong Country Returns |
E377128
|
entity |
| Predicate | includesCollectible |
P77092
|
FINISHED |
| Object | K-O-N-G letters |
—
|
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: K-O-N-G letters | Statement: [Donkey Kong Country Returns, includesCollectible, K-O-N-G letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCollectible Context triple: [Donkey Kong Country Returns, includesCollectible, K-O-N-G letters]
-
A.
collectibleIn
chosen
Indicates that one entity can be collected or obtained within the context, location, or container defined by another entity.
-
B.
collectibleAspect
Indicates that one entity represents a collectible-related characteristic, feature, or dimension associated with another entity.
-
C.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
D.
containsRelic
Indicates that one entity holds, includes, or has within it a relic.
-
E.
displayedInCollection
Indicates that an item is or was shown as part of a particular collection or exhibition grouping.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:48 a.m.