Triple

T17517487
Position Surface form Disambiguated ID Type / Status
Subject ESP8266 E426602 entity
Predicate hasSuccessor P78 FINISHED
Object ESP32 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 | Statement: [ESP8266, hasSuccessor, ESP32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESP32
Context triple: [ESP8266, hasSuccessor, ESP32]
  • A. ESP32 microcontrollers chosen
    ESP32 microcontrollers are low-cost, low-power Wi-Fi and Bluetooth-enabled system-on-chips from Espressif, widely used for IoT, embedded, and hobbyist electronics projects.
  • B. ESP32 WROOM Module
    The ESP32 WROOM Module is a compact Wi-Fi and Bluetooth-enabled microcontroller module based on Espressif’s ESP32 chip, commonly used for IoT and embedded applications.
  • C. ESP32-DevKitC
    ESP32-DevKitC is a compact, official Espressif development board designed to prototype and evaluate ESP32 Wi‑Fi and Bluetooth microcontroller applications.
  • D. ESP32 WROVER Module
    The ESP32 WROVER Module is an Espressif Wi-Fi and Bluetooth combo microcontroller module featuring an ESP32 chip with integrated PSRAM, designed for more memory-intensive IoT and embedded applications.
  • E. 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.
  • 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.