Triple
T30884521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-S10 |
E786720
|
entity |
| Predicate | storageMediaSlots |
P88415
|
FINISHED |
| Object | single SD slot |
—
|
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: single SD slot | Statement: [Fujifilm X-S10, storageMediaSlots, single SD slot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageMediaSlots Context triple: [Fujifilm X-S10, storageMediaSlots, single SD slot]
-
A.
hasCartridgeSlot
Indicates that an object includes a dedicated slot or receptacle designed to accept and hold a cartridge.
-
B.
cardSlots
chosen
Indicates a relationship where specific positions or slots are allocated or available for holding cards.
-
C.
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.
-
D.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
E.
storageDevice
Indicates a relationship where one entity functions as a device used to store data or digital information for another entity.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 8:49 p.m.