Triple

T8918152
Position Surface form Disambiguated ID Type / Status
Subject Nemo E212343 entity
Predicate platform P1292 FINISHED
Object ARM (via Linux distributions) 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 (via Linux distributions) | Statement: [Nemo, platform, ARM (via Linux distributions)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM (via Linux distributions)
Context triple: [Nemo, platform, ARM (via Linux distributions)]
  • A. ARM
    ARM is the three-letter International Olympic Committee country code representing Armenia in the Olympic Games.
  • B. ARM
    ARM is a South African diversified mining and minerals company involved in the exploration and production of commodities such as iron ore, manganese, coal, copper, and platinum group metals.
  • C. 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.
  • D. ARM
    ARM is the National Rail station code for Armadale railway station in West Lothian, Scotland.
  • E. ARM Cortex-A
    ARM Cortex-A is a family of 32-bit and 64-bit application processor cores from Arm designed for high-performance, feature-rich devices such as smartphones, tablets, and embedded systems.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66120eb08190913ab6c42f26ffb8 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba49d65c8190b9d9908822198cc0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.