Triple
T22505087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STSPIN |
E556367
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | STSPIN32F0 |
—
|
NE NERFINISHED |
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: STSPIN32F0 | Statement: [STSPIN, hasMember, STSPIN32F0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STSPIN32F0 Context triple: [STSPIN, hasMember, STSPIN32F0]
-
A.
STSPIN
chosen
STSPIN is a family of motor driver integrated circuits from STMicroelectronics designed for controlling stepper, DC, and brushless motors in various applications.
-
B.
Silicon Labs EFM32 microcontrollers
Silicon Labs EFM32 microcontrollers are ultra-low-power 32-bit MCUs designed for energy-efficient embedded applications such as IoT, wearables, and battery-powered devices.
-
C.
ESP32-S3
ESP32-S3 is a low-power, dual-core Wi-Fi and Bluetooth LE microcontroller from Espressif designed for AI acceleration and advanced IoT applications.
-
D.
RTM322
RTM322 is a turboshaft aircraft engine developed jointly by Rolls-Royce and Turbomeca, widely used to power military and transport helicopters such as the NH90 and Apache.
-
E.
stc
stc is Saudi Arabia’s leading telecommunications and digital services provider, offering mobile, internet, and enterprise solutions across the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5bf0f0819093426d83ebd80ef0 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.