Triple

T8521317
Position Surface form Disambiguated ID Type / Status
Subject LynxOS E201698 entity
Predicate supportsProcessorArchitecture P34781 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: [LynxOS, supportsProcessorArchitecture, ARM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM
Context triple: [LynxOS, supportsProcessorArchitecture, 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. 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.
  • D. ARM
    ARM is the National Rail station code for Armadale railway station in West Lothian, Scotland.
  • E. ARM9
    ARM9 is a family of 32-bit RISC microprocessor cores from ARM designed for embedded systems, known for their balance of performance, power efficiency, and widespread use in consumer and industrial devices.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62a490481908ee0ad4ba9a94682 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e8399f481909992aedf0d918cbc completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:16 p.m.