Triple

T15103548
Position Surface form Disambiguated ID Type / Status
Subject ARM Cortex-M series E360728 entity
Predicate includesModel P1393 FINISHED
Object ARM Cortex-M0+ E360728 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: ARM Cortex-M0+ | Statement: [ARM Cortex-M series, includesModel, ARM Cortex-M0+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARM Cortex-M0+
Context triple: [ARM Cortex-M series, includesModel, ARM Cortex-M0+]
  • A. ARM Cortex-M series chosen
    The ARM Cortex-M series is a family of low-power, 32-bit RISC microcontroller cores widely used in embedded systems, IoT devices, and real-time applications.
  • B. ARM Cortex-R series
    The ARM Cortex-R series is a family of 32-bit RISC processor cores designed by ARM for high-performance, real-time and safety-critical embedded applications such as automotive, industrial control, and storage systems.
  • C. ARM7TDMI
    ARM7TDMI is a 32-bit RISC microprocessor core from ARM's ARM7 family, widely used in embedded systems and handheld gaming devices for its low power consumption and Thumb instruction set support.
  • D. ARM
    ARM is the station code used to identify Plaza de Armas station within its transit network.
  • E. ARM
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e6fc7c8190b517a7daa567d67c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.