Triple
T31133887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7C |
E793584
|
entity |
| Predicate | memoryCardSlotCount |
P88415
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Sony α7C, memoryCardSlotCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryCardSlotCount Context triple: [Sony α7C, memoryCardSlotCount, 1]
-
A.
memoryCardSlotsUsed
Indicates how many of the available memory card slots are currently occupied or in use.
-
B.
supportsMemoryCard
Indicates that one entity is compatible with and can accept or use a memory card associated with another entity.
-
C.
hasCartridgeSlot
Indicates that an object includes a dedicated slot or receptacle designed to accept and hold a cartridge.
-
D.
requiresCartridgeSlotOf
Indicates that one entity needs to use or be connected to the cartridge slot provided by another entity in order to function or be compatible.
-
E.
cardSlots
chosen
Indicates a relationship where specific positions or slots are allocated or available for holding cards.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 29, 2026, 9:05 p.m.