Triple

T16702534
Position Surface form Disambiguated ID Type / Status
Subject Firefox OS E405886 entity
Predicate platform P1292 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: [Firefox OS, platform, ARM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM
Context triple: [Firefox OS, platform, 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 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
    ARM is Microsoft Azure’s unified management and deployment service that enables users to provision, configure, and organize cloud resources through templates, APIs, and role-based access control.
  • D. ARM
    ARM is the station code used to identify Armidale railway station in New South Wales, Australia, within railway timetabling and ticketing systems.
  • E. ARM
    ARM is the acronym for the Armed Forces of North Macedonia, the country's professional military responsible for national defense and participation in international peacekeeping missions.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383326d7081909ef4c3b724876513 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.