Triple

T5923023
Position Surface form Disambiguated ID Type / Status
Subject Zig E131740 entity
Predicate supportsArchitecture P5090 FINISHED
Object ARM E13771 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 | Statement: [Zig, supportsArchitecture, ARM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM
Context triple: [Zig, supportsArchitecture, ARM]
  • A. ARM chosen
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • B. ARM
    ARM is the three-letter International Olympic Committee country code representing Armenia in the Olympic Games.
  • C. ARMv7-A architecture
    ARMv7-A architecture is a 32-bit ARM processor architecture widely used in smartphones, tablets, and embedded systems, featuring advanced performance, virtualization, and security capabilities.
  • D. ARMv6 architecture family
    The ARMv6 architecture family is a generation of 32-bit ARM processor designs that introduced significant enhancements in performance, multimedia processing, and security features for mobile and embedded devices.
  • E. 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.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.