Triple
T17517259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arduino core for ESP32 |
E426599
|
entity |
| Predicate | supportsPlatform |
P203
|
FINISHED |
| Object | ESP32-S2 |
—
|
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: ESP32-S2 | Statement: [Arduino core for ESP32, supportsPlatform, ESP32-S2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESP32-S2 Context triple: [Arduino core for ESP32, supportsPlatform, ESP32-S2]
-
A.
ESP32-S2
chosen
ESP32-S2 is a low-power, Wi-Fi-enabled microcontroller from Espressif designed for secure IoT applications, featuring an Xtensa 32-bit core and rich peripheral support.
-
B.
ESP32-C2
The ESP32-C2 is a low-cost, low-power Wi-Fi and Bluetooth LE microcontroller from Espressif Systems designed for IoT and connected embedded applications.
-
C.
ESP32-H2
ESP32-H2 is a low-power RISC-V-based microcontroller from Espressif designed for wireless connectivity, particularly supporting protocols like Thread, Zigbee, and Bluetooth Low Energy for IoT applications.
-
D.
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.
-
E.
ESP32-C3
The ESP32-C3 is a low-cost, low-power RISC-V-based Wi-Fi and Bluetooth LE microcontroller designed for IoT and embedded applications.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.