Triple
T9000386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memory Stick |
E215024
|
entity |
| Predicate | competition |
P563
|
FINISHED |
| Object | Secure Digital |
E745348
|
NE 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: Secure Digital | Statement: [Memory Stick, competition, Secure Digital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Secure Digital Context triple: [Memory Stick, competition, Secure Digital]
-
A.
Secure Digital
chosen
Secure Digital is a widely used non-volatile memory card format for portable devices such as cameras, smartphones, and tablets.
-
B.
Voltage SecureData
Voltage SecureData is a data-centric security solution that provides encryption, tokenization, and data masking to protect sensitive information across enterprise systems and applications.
-
C.
Secure Enclave
Secure Enclave is Apple’s dedicated coprocessor for handling sensitive tasks like encryption and biometric data storage in a secure, isolated environment.
-
D.
Secure Flight
Secure Flight is a U.S. government passenger prescreening program that compares airline traveler information against federal watch lists to enhance aviation security and reduce misidentifications.
-
E.
CRYPTO
CRYPTO is a premier international research conference focused on cryptology and information security, organized annually by the International Association for Cryptologic Research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6954bb1881908d004a26ba7fe360 |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0d987dc81908f1d74f390f18a9c |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.