Triple

T17517440
Position Surface form Disambiguated ID Type / Status
Subject ESP8266 E426602 entity
Predicate manufacturer P490 FINISHED
Object Espressif Systems 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: Espressif Systems | Statement: [ESP8266, manufacturer, Espressif Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espressif Systems
Context triple: [ESP8266, manufacturer, Espressif Systems]
  • A. Espressif Systems chosen
    Espressif Systems is a Chinese semiconductor company best known for designing low-cost, Wi‑Fi and Bluetooth-enabled microcontroller chips widely used in IoT and embedded applications.
  • B. ESP32 microcontrollers
    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.
  • C. MediaTek
    MediaTek is a Taiwanese semiconductor company best known for designing affordable, high-integration system-on-chip solutions for smartphones and other consumer electronics.
  • D. Renesas Electronics
    Renesas Electronics is a Japanese semiconductor manufacturer known for its microcontrollers, automotive chips, and embedded system solutions.
  • E. 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.
  • 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.