Triple
T2066416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshiba |
E45910
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
FlashAir
FlashAir is Toshiba’s line of SD memory cards with built-in Wi-Fi capability, enabling wireless file transfer from cameras and other devices.
|
E232183
|
NE FINISHED |
How this triple was built (4 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: FlashAir | Statement: [Toshiba, brand, FlashAir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FlashAir Context triple: [Toshiba, brand, FlashAir]
-
A.
exFAT
exFAT is a Microsoft-developed file system optimized for flash drives and SD cards, designed to handle large files and volumes with broad cross-platform compatibility.
-
B.
F2FS
F2FS (Flash-Friendly File System) is a Linux file system optimized for NAND flash-based storage devices, designed to improve performance and lifespan on solid-state media.
-
C.
SanDisk
SanDisk is a prominent data storage brand known for its flash memory products such as SD cards, USB drives, and solid-state drives.
-
D.
FAT
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
E.
FAT
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FlashAir Triple: [Toshiba, brand, FlashAir]
Generated description
FlashAir is Toshiba’s line of SD memory cards with built-in Wi-Fi capability, enabling wireless file transfer from cameras and other devices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FlashAir Target entity description: FlashAir is Toshiba’s line of SD memory cards with built-in Wi-Fi capability, enabling wireless file transfer from cameras and other devices.
-
A.
exFAT
exFAT is a Microsoft-developed file system optimized for flash drives and SD cards, designed to handle large files and volumes with broad cross-platform compatibility.
-
B.
F2FS
F2FS (Flash-Friendly File System) is a Linux file system optimized for NAND flash-based storage devices, designed to improve performance and lifespan on solid-state media.
-
C.
SanDisk
SanDisk is a prominent data storage brand known for its flash memory products such as SD cards, USB drives, and solid-state drives.
-
D.
FAT
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
E.
FAT
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
- F. None of above. chosen
Provenance (5 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f236f08190b602d337afb1880f |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2722b5048190a78978a64167cda2 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae29897e3081908e7b981224edc96e |
completed | March 9, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae29f834d481908d96b0cf9fe10605 |
completed | March 9, 2026, 2:01 a.m. |
Created at: March 4, 2026, 7:40 p.m.