Triple
T29871259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nintendo GameCube games on Wii |
E758599
|
entity |
| Predicate | memoryCardSlotsUsed |
P173403
|
FINISHED |
| Object | GameCube memory card slots on Wii |
—
|
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: GameCube memory card slots on Wii | Statement: [Nintendo GameCube games on Wii, memoryCardSlotsUsed, GameCube memory card slots on Wii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryCardSlotsUsed Context triple: [Nintendo GameCube games on Wii, memoryCardSlotsUsed, GameCube memory card slots on Wii]
-
A.
supportsMemoryCard
Indicates that one entity is compatible with and can accept or use a memory card associated with another entity.
-
B.
hasCartridgeSlot
Indicates that an object includes a dedicated slot or receptacle designed to accept and hold a cartridge.
-
C.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
D.
numberOfImagesTaken
Indicates the quantity of images that have been captured or recorded in relation to a given subject or event.
-
E.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 29, 2026, 5:53 p.m.